Pose estimation for iOS and android using TensorFlow 2.0

tucan9389

Last update: Nov 16, 2022

Related tags

Overview

💃 Mobile 2D Single Person (Or Your Own Object) Pose Estimation for TensorFlow 2.0

~~This repository is forked from edvardHua/PoseEstimationForMobile when the original repository was closed.~~
edvardHua/PoseEstimationForMobile repository is reopened! I'll maintain it separately. 👍

This repository currently implemented the Hourglass model using TensorFlow 2.0 with Keras API.

Goals
Getting Started
Results
Converting To Mobile Model
Tuning
Details
- Folder Structure
- Main Components
TODO
Related Projects
Acknowledgements
Reference
Contributing
License

Goals

📚 Easy to train
🏃‍ Easy to use the model on mobile device

Getting Started

Install Anaconda (~10 min)

Create Virtual Environment (~2 min)

Create new environment.

conda create -n {env_name} python={python_version} anaconda
# in my case
# conda create -n mpe-env-tf2-alpha0 python=3.7 anaconda

Start the environment.

source activate {env_name}
# in my case
# source activate mpe-env-tf2-alpha0

Install the requirements (~1 min)

cd {tf2-mobile-pose-estimation_path}
pip install -r requirements.txt
pip install git+https://github.com/philferriere/cocoapi.git@2929bd2ef6b451054755dfd7ceb09278f935f7ad#subdirectory=PythonAPI

Download original COCO dataset.

Download original COCO dataset

Special script that will help you to download and unpack needed COCO datasets. Please fill COCO_DATASET_PATH with path that is used in current version of repository. You can check needed path in file train.py

Warning Your system should have approximately 40gb of free space for datasets

python downloader.py --download-path=COCO_DATASET_PATH

Run The Project

In order to use the project you have to:

Prepare the dataset(ai_challenger dataset) and unzip.
Run the model using:

python train.py \
--dataset_config config/dataset/coco_single_person_only-gpu.cfg \
--experiment_config config/training/coco_single_experiment01-cpm-sg4-gpu.cfg

Compatiable Datasets

Dataset Name	Doanload	Size	Number of images train/valid	Number of Keypoints	Note
ai challenge	google drive	2GB	22k/1.5k	14	default dataset of this repo
coco single person only	google drive	4GB	25k/1k	17	filtered by showing only one person in an image which is from coco 2017 keypoint dataset

ai challenge's keypoint names: ['top_head', 'neck', 'left_shoulder', 'right_shoulder', 'left_elbow', 'right_elbow', 'left_wrist', 'right_wrist', 'left_hip', 'right_hip', 'left_knee', 'right_knee', 'left_ankle', 'right_ankle']
coco's keypoint names: ['nose', 'left_eye', 'right_eye', 'left_ear', 'right_ear', 'left_shoulder', 'right_shoulder', 'left_elbow', 'right_elbow', 'left_wrist', 'right_wrist', 'left_hip', 'right_hip', 'left_knee', 'right_knee', 'left_ankle', 'right_ankle']

Results

AI Challenge Dataset

Model Name	Backbone	Stage Or Depth	[email protected]	Size	Total Epoch	Total Training Time	Note
MobileNetV2 based CPM	cpm-b0	Stage 1	..	..	..	..	Default CPM
MobileNetV2 based CPM	cpm-b0	Stage 2	..	..	..	..
MobileNetV2 based CPM	cpm-b0	Stage 3	..	..	..	..
MobileNetV2 based CPM	cpm-b0	Stage 4	..	..	..	..
MobileNetV2 based CPM	cpm-b0	Stage 5	..	..	..	..
MobileNetV2 based Hourglass	hg-b0	Depth 4	..	..	..	..	Default Hourglass

COCO Single persononly Dataset

Model Name	Backbone	Stage Or Depth	OKS	Size	Total Epoch	Total Training Time	Note
MobileNetV2 based CPM	cpm-b0	Stage 1	..	..	..	..	Default CPM
MobileNetV2 based CPM	cpm-b0	Stage 2	..	..	..	..
MobileNetV2 based CPM	cpm-b0	Stage 3	..	..	..	..
MobileNetV2 based CPM	cpm-b0	Stage 4	..	..	..	..
MobileNetV2 based CPM	cpm-b0	Stage 5	..	..	..	..
MobileNetV2 based Hourglass	hg-b0	Depth 4	..	..	..	..	Default Hourglass

Converting To Mobile Model

TensorFLow Lite

If you train the model, it will create tflite models per evaluation step.

Core ML

Check convert_to_coreml.py script. The converted .mlmodel support iOS14+.

Details

This section will be separated to other .md file.

Folder Structure

tf2-mobile-pose-estimation
├── config
|   ├── model_config.py
|   └── train_config.py
├── data_loader
|   ├── data_loader.py
|   ├── dataset_augment.py
|   ├── dataset_prepare.py
|   └── pose_image_processor.py
├── models
|   ├── common.py
|   ├── mobilenet.py
|   ├── mobilenetv2.py
|   ├── mobilenetv3.py
|   ├── resnet.py
|   ├── resneta.py
|   ├── resnetd.py
|   ├── senet.py
|   ├── simplepose_coco.py
|   └── simpleposemobile_coco.py
├── train.py            - the main training script
├── common.py 
├── requirements.txt
└── outputs             - this folder will be generated automatically when start training
    ├── 20200312-sp-ai_challenger
    |   ├── saved_model
    |   └── image_results
    └── 20200312-sp-ai_challenger
        └── ...

My SSD    
└── datasets            - this folder contains the datasets of the project.
    └── ai_challenger
        ├── train.json
        ├── valid.json
        ├── train
        └── valid

TODO

~~Save model to saved_model~~
~~Convert the model(saved_model) to TFLite model(.tflite)~~
~~Convert the model(saved_model) to Core ML model(.mlmodel)~~
~~Run the model on iOS~~
Release 1.0 models
Support distributed GPUs training
Make DEMO gif running on mobile device
Run the model on Android

Reference

[1] Paper of Convolutional Pose Machines
[2] Paper of Stack Hourglass
[3] Paper of MobileNet V2
[4] Repository PoseEstimation-CoreML
[5] Repository of tf-pose-estimation
[6] Devlope guide of TensorFlow Lite
[7] Mace documentation

Related Projects

Other Pose Estimation Projects

cbsudux/awesome-human-pose-estimation

Contributing

This section will be separated to other .md file.

Any contributions are welcome including improving the project.

License

Apache License 2.0

Comments

Training doesn't work
First of all, thank you for sharing the code 👍🏻I'm trying to get into ML for my project. I've installed all dependancies successfully, downloaded the dataset and started the training script with python train.py.

It seems to work fine. I'm getting output like this:

Train for 100 steps Epoch 1/500 2019-11-20 05:27:23.706954: I tensorflow/core/profiler/lib/profiler_session.cc:184] Profiler session started. 99/100 [============================>.] - ETA: 2s - loss: 0.2444 Epoch 00001: saving model to /Users/aeyoa/Documents/Sites/tf2-mpe/outputs/models/11200527_hg_lr0.0001.hdf5 100/100 [==============================] - 251s 3s/step - loss: 0.2422

After 500 epochs I'm getting loss of 0.0038

Epoch 500/500 99/100 [============================>.] - ETA: 1s - loss: 0.0038 Epoch 00500: saving model to /Users/aeyoa/Documents/Sites/tf2-mpe/outputs/models/11200527_hg_lr0.0001.hdf5 100/100 [==============================] - 208s 2s/step - loss: 0.0038

But when I'm checking the progress in Tensorboard the training seems to be broken: heatmaps are changing randomly. Here are a few examples:

After 245 epochs

After 246 epochs — suddenly white

After 306 epochs — still no results

After the fitting I've checked the model with model.predict and still didn't get any reasonable heatmap.

Have you tried the latest code for training? Does is work? Do you have any idea why this isn't working?

Thank you
🐞Bug ❓Question
opened by aeyoa 5
[PR] Support lightweight cpm and hourglass
Add dataset config file #33

Add training config file #33

Implement mv2 cpm with tf2 #31

Implement mv2 hourglass with tf2 #30

Measure PCKh with validation dataset #32

Support tensorboard #28

Restructure folder hierarchy #29

Convert to tflite from saved_model #14
opened by tucan9389 2
Datasets downloader
Hey! I created python script to download COCO datasets to make project startup easier and quicker.

I think this script may be tweaked/improved to include other datasets, but for now I suspect it will be good to have easy way to download COCO datasets with single script launch.

Script can be tested like this with small archive:

python downloader.py --test-run
💪Enhancement
opened by idchlife 2
from_concrete_function()

'TFLiteConverterV2' has no attribute 'from_concrete_function'?

The reason is that tensorflow2.0 has changed the function from 'from_concrete_function(func)' to 'from_concrete_function(cls,funcs)'. So we only need to change the code to 'converter = tf.lite.TFLiteConverter.from_concrete_functions([concrete_func])'
💁‍♂️Suggestion

opened by yxxxqqq 2
Bump tensorflow from 2.3.2 to 2.7.2
Bumps tensorflow from 2.3.2 to 2.7.2.

Release notes

Sourced from tensorflow's releases.

TensorFlow 2.7.2

Release 2.7.2

This releases introduces several vulnerability fixes:

Fixes a code injection in saved_model_cli (CVE-2022-29216)

Fixes a missing validation which causes TensorSummaryV2 to crash (CVE-2022-29193)

Fixes a missing validation which crashes QuantizeAndDequantizeV4Grad (CVE-2022-29192)

Fixes a missing validation which causes denial of service via DeleteSessionTensor (CVE-2022-29194)

Fixes a missing validation which causes denial of service via GetSessionTensor (CVE-2022-29191)

Fixes a missing validation which causes denial of service via StagePeek (CVE-2022-29195)

Fixes a missing validation which causes denial of service via UnsortedSegmentJoin (CVE-2022-29197)

Fixes a missing validation which causes denial of service via LoadAndRemapMatrix (CVE-2022-29199)

Fixes a missing validation which causes denial of service via SparseTensorToCSRSparseMatrix (CVE-2022-29198)

Fixes a missing validation which causes denial of service via LSTMBlockCell (CVE-2022-29200)

Fixes a missing validation which causes denial of service via Conv3DBackpropFilterV2 (CVE-2022-29196)

Fixes a CHECK failure in depthwise ops via overflows (CVE-2021-41197)

Fixes issues arising from undefined behavior stemming from users supplying invalid resource handles (CVE-2022-29207)

Fixes a segfault due to missing support for quantized types (CVE-2022-29205)

Fixes a missing validation which results in undefined behavior in SparseTensorDenseAdd (CVE-2022-29206)

Fixes a missing validation which results in undefined behavior in QuantizedConv2D (CVE-2022-29201)

Fixes an integer overflow in SpaceToBatchND (CVE-2022-29203)

Fixes a segfault and OOB write due to incomplete validation in EditDistance (CVE-2022-29208)

Fixes a missing validation which causes denial of service via Conv3DBackpropFilterV2 (CVE-2022-29204)

Fixes a denial of service in tf.ragged.constant due to lack of validation (CVE-2022-29202)

Fixes a segfault when tf.histogram_fixed_width is called with NaN values (CVE-2022-29211)

Fixes a core dump when loading TFLite models with quantization (CVE-2022-29212)

Fixes crashes stemming from incomplete validation in signal ops (CVE-2022-29213)

Fixes a type confusion leading to CHECK-failure based denial of service (CVE-2022-29209)

Updates curl to 7.83.1 to handle (CVE-2022-22576, (CVE-2022-27774, (CVE-2022-27775, (CVE-2022-27776, (CVE-2022-27778, (CVE-2022-27779, (CVE-2022-27780, (CVE-2022-27781, (CVE-2022-27782 and (CVE-2022-30115

Updates zlib to 1.2.12 after 1.2.11 was pulled due to security issue

TensorFlow 2.7.1

Release 2.7.1

This releases introduces several vulnerability fixes:

Fixes a floating point division by 0 when executing convolution operators (CVE-2022-21725)

Fixes a heap OOB read in shape inference for ReverseSequence (CVE-2022-21728)

Fixes a heap OOB access in Dequantize (CVE-2022-21726)

Fixes an integer overflow in shape inference for Dequantize (CVE-2022-21727)

Fixes a heap OOB access in FractionalAvgPoolGrad (CVE-2022-21730)

Fixes an overflow and divide by zero in UnravelIndex (CVE-2022-21729)

Fixes a type confusion in shape inference for ConcatV2 (CVE-2022-21731)

Fixes an OOM in ThreadPoolHandle (CVE-2022-21732)

Fixes an OOM due to integer overflow in StringNGrams (CVE-2022-21733)

Fixes more issues caused by incomplete validation in boosted trees code (CVE-2021-41208)

Fixes an integer overflows in most sparse component-wise ops (CVE-2022-23567)

Fixes an integer overflows in AddManySparseToTensorsMap (CVE-2022-23568)

... (truncated)

Changelog

Sourced from tensorflow's changelog.

Release 2.7.2

This releases introduces several vulnerability fixes:

Fixes a code injection in saved_model_cli (CVE-2022-29216)

Fixes a missing validation which causes TensorSummaryV2 to crash (CVE-2022-29193)

Fixes a missing validation which crashes QuantizeAndDequantizeV4Grad (CVE-2022-29192)

Fixes a missing validation which causes denial of service via DeleteSessionTensor (CVE-2022-29194)

Fixes a missing validation which causes denial of service via GetSessionTensor (CVE-2022-29191)

Fixes a missing validation which causes denial of service via StagePeek (CVE-2022-29195)

Fixes a missing validation which causes denial of service via UnsortedSegmentJoin (CVE-2022-29197)

Fixes a missing validation which causes denial of service via LoadAndRemapMatrix (CVE-2022-29199)

Fixes a missing validation which causes denial of service via SparseTensorToCSRSparseMatrix (CVE-2022-29198)

Fixes a missing validation which causes denial of service via LSTMBlockCell (CVE-2022-29200)

Fixes a missing validation which causes denial of service via Conv3DBackpropFilterV2 (CVE-2022-29196)

Fixes a CHECK failure in depthwise ops via overflows (CVE-2021-41197)

Fixes issues arising from undefined behavior stemming from users supplying invalid resource handles (CVE-2022-29207)

Fixes a segfault due to missing support for quantized types (CVE-2022-29205)

Fixes a missing validation which results in undefined behavior in SparseTensorDenseAdd (CVE-2022-29206)

Fixes a missing validation which results in undefined behavior in QuantizedConv2D (CVE-2022-29201)

Fixes an integer overflow in SpaceToBatchND (CVE-2022-29203)

Fixes a segfault and OOB write due to incomplete validation in EditDistance (CVE-2022-29208)

Fixes a missing validation which causes denial of service via Conv3DBackpropFilterV2 (CVE-2022-29204)

Fixes a denial of service in tf.ragged.constant due to lack of validation (CVE-2022-29202)

Fixes a segfault when tf.histogram_fixed_width is called with NaN values (CVE-2022-29211)

Fixes a core dump when loading TFLite models with quantization (CVE-2022-29212)

Fixes crashes stemming from incomplete validation in signal ops (CVE-2022-29213)

Fixes a type confusion leading to CHECK-failure based denial of service (CVE-2022-29209)

Updates curl to 7.83.1 to handle (CVE-2022-22576, (CVE-2022-27774, (CVE-2022-27775, (CVE-2022-27776, (CVE-2022-27778, (CVE-2022-27779, (CVE-2022-27780, (CVE-2022-27781, (CVE-2022-27782 and (CVE-2022-30115

Updates zlib to 1.2.12 after 1.2.11 was pulled due to security issue

Release 2.6.4

This releases introduces several vulnerability fixes:

Fixes a code injection in saved_model_cli (CVE-2022-29216)

Fixes a missing validation which causes TensorSummaryV2 to crash (CVE-2022-29193)

Fixes a missing validation which crashes QuantizeAndDequantizeV4Grad (CVE-2022-29192)

Fixes a missing validation which causes denial of service via DeleteSessionTensor (CVE-2022-29194)

Fixes a missing validation which causes denial of service via GetSessionTensor (CVE-2022-29191)

Fixes a missing validation which causes denial of service via StagePeek (CVE-2022-29195)

Fixes a missing validation which causes denial of service via UnsortedSegmentJoin (CVE-2022-29197)

Fixes a missing validation which causes denial of service via LoadAndRemapMatrix (CVE-2022-29199)

Fixes a missing validation which causes denial of service via SparseTensorToCSRSparseMatrix (CVE-2022-29198)

Fixes a missing validation which causes denial of service via LSTMBlockCell (CVE-2022-29200)

Fixes a missing validation which causes denial of service via Conv3DBackpropFilterV2 (CVE-2022-29196)

Fixes a CHECK failure in depthwise ops via overflows (CVE-2021-41197)

Fixes issues arising from undefined behavior stemming from users supplying invalid resource handles (CVE-2022-29207)

Fixes a segfault due to missing support for quantized types (CVE-2022-29205)

Fixes a missing validation which results in undefined behavior in SparseTensorDenseAdd (CVE-2022-29206)

... (truncated)

Commits

dd7b8a3 Merge pull request #56034 from tensorflow-jenkins/relnotes-2.7.2-15779

1e7d6ea Update RELEASE.md

5085135 Merge pull request #56069 from tensorflow/mm-cp-52488e5072f6fe44411d70c6af09e...

adafb45 Merge pull request #56060 from yongtang:curl-7.83.1

01cb1b8 Merge pull request #56038 from tensorflow-jenkins/version-numbers-2.7.2-4733

8c90c2f Update version numbers to 2.7.2

43f3cdc Update RELEASE.md

98b0a48 Insert release notes place-fill

dfa5cf3 Merge pull request #56028 from tensorflow/disable-tests-on-r2.7

501a65c Disable timing out tests

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dependencies
opened by dependabot[bot] 1
Bump tensorflow from 2.3.2 to 2.6.4
Bumps tensorflow from 2.3.2 to 2.6.4.

Release notes

Sourced from tensorflow's releases.

TensorFlow 2.6.4

Release 2.6.4

This releases introduces several vulnerability fixes:

Fixes a code injection in saved_model_cli (CVE-2022-29216)

Fixes a missing validation which causes TensorSummaryV2 to crash (CVE-2022-29193)

Fixes a missing validation which crashes QuantizeAndDequantizeV4Grad (CVE-2022-29192)

Fixes a missing validation which causes denial of service via DeleteSessionTensor (CVE-2022-29194)

Fixes a missing validation which causes denial of service via GetSessionTensor (CVE-2022-29191)

Fixes a missing validation which causes denial of service via StagePeek (CVE-2022-29195)

Fixes a missing validation which causes denial of service via UnsortedSegmentJoin (CVE-2022-29197)

Fixes a missing validation which causes denial of service via LoadAndRemapMatrix (CVE-2022-29199)

Fixes a missing validation which causes denial of service via SparseTensorToCSRSparseMatrix (CVE-2022-29198)

Fixes a missing validation which causes denial of service via LSTMBlockCell (CVE-2022-29200)

Fixes a missing validation which causes denial of service via Conv3DBackpropFilterV2 (CVE-2022-29196)

Fixes a CHECK failure in depthwise ops via overflows (CVE-2021-41197)

Fixes issues arising from undefined behavior stemming from users supplying invalid resource handles (CVE-2022-29207)

Fixes a segfault due to missing support for quantized types (CVE-2022-29205)

Fixes a missing validation which results in undefined behavior in SparseTensorDenseAdd (CVE-2022-29206)

Fixes a missing validation which results in undefined behavior in QuantizedConv2D (CVE-2022-29201)

Fixes an integer overflow in SpaceToBatchND (CVE-2022-29203)

Fixes a segfault and OOB write due to incomplete validation in EditDistance (CVE-2022-29208)

Fixes a missing validation which causes denial of service via Conv3DBackpropFilterV2 (CVE-2022-29204)

Fixes a denial of service in tf.ragged.constant due to lack of validation (CVE-2022-29202)

Fixes a segfault when tf.histogram_fixed_width is called with NaN values (CVE-2022-29211)

Fixes a core dump when loading TFLite models with quantization (CVE-2022-29212)

Fixes crashes stemming from incomplete validation in signal ops (CVE-2022-29213)

Fixes a type confusion leading to CHECK-failure based denial of service (CVE-2022-29209)

Updates curl to 7.83.1 to handle (CVE-2022-22576, (CVE-2022-27774, (CVE-2022-27775, (CVE-2022-27776, (CVE-2022-27778, (CVE-2022-27779, (CVE-2022-27780, (CVE-2022-27781, (CVE-2022-27782 and (CVE-2022-30115

Updates zlib to 1.2.12 after 1.2.11 was pulled due to security issue

TensorFlow 2.6.3

Release 2.6.3

This releases introduces several vulnerability fixes:

Fixes a floating point division by 0 when executing convolution operators (CVE-2022-21725)

Fixes a heap OOB read in shape inference for ReverseSequence (CVE-2022-21728)

Fixes a heap OOB access in Dequantize (CVE-2022-21726)

Fixes an integer overflow in shape inference for Dequantize (CVE-2022-21727)

Fixes a heap OOB access in FractionalAvgPoolGrad (CVE-2022-21730)

Fixes an overflow and divide by zero in UnravelIndex (CVE-2022-21729)

Fixes a type confusion in shape inference for ConcatV2 (CVE-2022-21731)

Fixes an OOM in ThreadPoolHandle (CVE-2022-21732)

Fixes an OOM due to integer overflow in StringNGrams (CVE-2022-21733)

Fixes more issues caused by incomplete validation in boosted trees code (CVE-2021-41208)

Fixes an integer overflows in most sparse component-wise ops (CVE-2022-23567)

Fixes an integer overflows in AddManySparseToTensorsMap (CVE-2022-23568)

Fixes a number of CHECK-failures in MapStage (CVE-2022-21734)

... (truncated)

Changelog

Sourced from tensorflow's changelog.

Release 2.6.4

This releases introduces several vulnerability fixes:

Fixes a code injection in saved_model_cli (CVE-2022-29216)

Fixes a missing validation which causes TensorSummaryV2 to crash (CVE-2022-29193)

Fixes a missing validation which crashes QuantizeAndDequantizeV4Grad (CVE-2022-29192)

Fixes a missing validation which causes denial of service via DeleteSessionTensor (CVE-2022-29194)

Fixes a missing validation which causes denial of service via GetSessionTensor (CVE-2022-29191)

Fixes a missing validation which causes denial of service via StagePeek (CVE-2022-29195)

Fixes a missing validation which causes denial of service via UnsortedSegmentJoin (CVE-2022-29197)

Fixes a missing validation which causes denial of service via LoadAndRemapMatrix (CVE-2022-29199)

Fixes a missing validation which causes denial of service via SparseTensorToCSRSparseMatrix (CVE-2022-29198)

Fixes a missing validation which causes denial of service via LSTMBlockCell (CVE-2022-29200)

Fixes a missing validation which causes denial of service via Conv3DBackpropFilterV2 (CVE-2022-29196)

Fixes a CHECK failure in depthwise ops via overflows (CVE-2021-41197)

Fixes issues arising from undefined behavior stemming from users supplying invalid resource handles (CVE-2022-29207)

Fixes a segfault due to missing support for quantized types (CVE-2022-29205)

Fixes a missing validation which results in undefined behavior in SparseTensorDenseAdd (CVE-2022-29206)

Fixes a missing validation which results in undefined behavior in QuantizedConv2D (CVE-2022-29201)

Fixes an integer overflow in SpaceToBatchND (CVE-2022-29203)

Fixes a segfault and OOB write due to incomplete validation in EditDistance (CVE-2022-29208)

Fixes a missing validation which causes denial of service via Conv3DBackpropFilterV2 (CVE-2022-29204)

Fixes a denial of service in tf.ragged.constant due to lack of validation (CVE-2022-29202)

Fixes a segfault when tf.histogram_fixed_width is called with NaN values (CVE-2022-29211)

Fixes a core dump when loading TFLite models with quantization (CVE-2022-29212)

Fixes crashes stemming from incomplete validation in signal ops (CVE-2022-29213)

Fixes a type confusion leading to CHECK-failure based denial of service (CVE-2022-29209)

Updates curl to 7.83.1 to handle (CVE-2022-22576, (CVE-2022-27774, (CVE-2022-27775, (CVE-2022-27776, (CVE-2022-27778, (CVE-2022-27779, (CVE-2022-27780, (CVE-2022-27781, (CVE-2022-27782 and (CVE-2022-30115

Updates zlib to 1.2.12 after 1.2.11 was pulled due to security issue

Release 2.8.0

Major Features and Improvements

tf.lite:

Added TFLite builtin op support for the following TF ops:

tf.raw_ops.Bucketize op on CPU.

tf.where op for data types tf.int32/tf.uint32/tf.int8/tf.uint8/tf.int64.

tf.random.normal op for output data type tf.float32 on CPU.

tf.random.uniform op for output data type tf.float32 on CPU.

tf.random.categorical op for output data type tf.int64 on CPU.

tensorflow.experimental.tensorrt:

conversion_params is now deprecated inside TrtGraphConverterV2 in favor of direct arguments: max_workspace_size_bytes, precision_mode, minimum_segment_size, maximum_cached_engines, use_calibration and

... (truncated)

Commits

33ed2b1 Merge pull request #56102 from tensorflow/mihaimaruseac-patch-1

e1ec480 Fix build due to importlib-metadata/setuptools

63f211c Merge pull request #56033 from tensorflow-jenkins/relnotes-2.6.4-6677

22b8fe4 Update RELEASE.md

ec30684 Merge pull request #56070 from tensorflow/mm-cp-adafb45c781-on-r2.6

38774ed Merge pull request #56060 from yongtang:curl-7.83.1

9ef1604 Merge pull request #56036 from tensorflow-jenkins/version-numbers-2.6.4-9925

a6526a3 Update version numbers to 2.6.4

cb1a481 Update RELEASE.md

4da550f Insert release notes place-fill

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dependencies
opened by dependabot[bot] 1
Bump pillow from 8.1.2 to 9.0.1
Bumps pillow from 8.1.2 to 9.0.1.

Release notes

Sourced from pillow's releases.

9.0.1

https://pillow.readthedocs.io/en/stable/releasenotes/9.0.1.html

Changes

In show_file, use os.remove to remove temporary images. CVE-2022-24303 #6010 [@radarhere, @hugovk]

Restrict builtins within lambdas for ImageMath.eval. CVE-2022-22817 #6009 [radarhere]

9.0.0

https://pillow.readthedocs.io/en/stable/releasenotes/9.0.0.html

Changes

Restrict builtins for ImageMath.eval() #5923 [@radarhere]

Ensure JpegImagePlugin stops at the end of a truncated file #5921 [@radarhere]

Fixed ImagePath.Path array handling #5920 [@radarhere]

Remove consecutive duplicate tiles that only differ by their offset #5919 [@radarhere]

Removed redundant part of condition #5915 [@radarhere]

Explicitly enable strip chopping for large uncompressed TIFFs #5517 [@kmilos]

Use the Windows method to get TCL functions on Cygwin #5807 [@DWesl]

Changed error type to allow for incremental WebP parsing #5404 [@radarhere]

Improved I;16 operations on big endian #5901 [@radarhere]

Ensure that BMP pixel data offset does not ignore palette #5899 [@radarhere]

Limit quantized palette to number of colors #5879 [@radarhere]

Use latin1 encoding to decode bytes #5870 [@radarhere]

Fixed palette index for zeroed color in FASTOCTREE quantize #5869 [@radarhere]

When saving RGBA to GIF, make use of first transparent palette entry #5859 [@radarhere]

Pass SAMPLEFORMAT to libtiff #5848 [@radarhere]

Added rounding when converting P and PA #5824 [@radarhere]

Improved putdata() documentation and data handling #5910 [@radarhere]

Exclude carriage return in PDF regex to help prevent ReDoS #5912 [@radarhere]

Image.NONE is only used for resampling and dithers #5908 [@radarhere]

Fixed freeing pointer in ImageDraw.Outline.transform #5909 [@radarhere]

Add Tidelift alignment action and badge #5763 [@aclark4life]

Replaced further direct invocations of setup.py #5906 [@radarhere]

Added ImageShow support for xdg-open #5897 [@m-shinder]

Fixed typo #5902 [@radarhere]

Switched from deprecated "setup.py install" to "pip install ." #5896 [@radarhere]

Support 16-bit grayscale ImageQt conversion #5856 [@cmbruns]

Fixed raising OSError in _safe_read when size is greater than SAFEBLOCK #5872 [@radarhere]

Convert subsequent GIF frames to RGB or RGBA #5857 [@radarhere]

WebP: Fix memory leak during decoding on failure #5798 [@ilai-deutel]

Do not prematurely return in ImageFile when saving to stdout #5665 [@infmagic2047]

Added support for top right and bottom right TGA orientations #5829 [@radarhere]

Corrected ICNS file length in header #5845 [@radarhere]

Block tile TIFF tags when saving #5839 [@radarhere]

Added line width argument to ImageDraw polygon #5694 [@radarhere]

Do not redeclare class each time when converting to NumPy #5844 [@radarhere]

Only prevent repeated polygon pixels when drawing with transparency #5835 [@radarhere]

... (truncated)

Changelog

Sourced from pillow's changelog.

9.0.1 (2022-02-03)

In show_file, use os.remove to remove temporary images. CVE-2022-24303 #6010 [radarhere, hugovk]

Restrict builtins within lambdas for ImageMath.eval. CVE-2022-22817 #6009 [radarhere]

9.0.0 (2022-01-02)

Restrict builtins for ImageMath.eval(). CVE-2022-22817 #5923 [radarhere]

Ensure JpegImagePlugin stops at the end of a truncated file #5921 [radarhere]

Fixed ImagePath.Path array handling. CVE-2022-22815, CVE-2022-22816 #5920 [radarhere]

Remove consecutive duplicate tiles that only differ by their offset #5919 [radarhere]

Improved I;16 operations on big endian #5901 [radarhere]

Limit quantized palette to number of colors #5879 [radarhere]

Fixed palette index for zeroed color in FASTOCTREE quantize #5869 [radarhere]

When saving RGBA to GIF, make use of first transparent palette entry #5859 [radarhere]

Pass SAMPLEFORMAT to libtiff #5848 [radarhere]

Added rounding when converting P and PA #5824 [radarhere]

Improved putdata() documentation and data handling #5910 [radarhere]

Exclude carriage return in PDF regex to help prevent ReDoS #5912 [hugovk]

Fixed freeing pointer in ImageDraw.Outline.transform #5909 [radarhere]

... (truncated)

Commits

6deac9e 9.0.1 version bump

c04d812 Update CHANGES.rst [ci skip]

4fabec3 Added release notes for 9.0.1

02affaa Added delay after opening image with xdg-open

ca0b585 Updated formatting

427221e In show_file, use os.remove to remove temporary images

c930be0 Restrict builtins within lambdas for ImageMath.eval

75b69dd Dont need to pin for GHA

cd938a7 Autolink CWE numbers with sphinx-issues

2e9c461 Add CVE IDs

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dependencies
opened by dependabot[bot] 1
Bump tensorflow from 2.3.2 to 2.5.3
Bumps tensorflow from 2.3.2 to 2.5.3.

Release notes

Sourced from tensorflow's releases.

TensorFlow 2.5.3

Release 2.5.3

Note: This is the last release in the 2.5 series.

This releases introduces several vulnerability fixes:

Fixes a floating point division by 0 when executing convolution operators (CVE-2022-21725)

Fixes a heap OOB read in shape inference for ReverseSequence (CVE-2022-21728)

Fixes a heap OOB access in Dequantize (CVE-2022-21726)

Fixes an integer overflow in shape inference for Dequantize (CVE-2022-21727)

Fixes a heap OOB access in FractionalAvgPoolGrad (CVE-2022-21730)

Fixes an overflow and divide by zero in UnravelIndex (CVE-2022-21729)

Fixes a type confusion in shape inference for ConcatV2 (CVE-2022-21731)

Fixes an OOM in ThreadPoolHandle (CVE-2022-21732)

Fixes an OOM due to integer overflow in StringNGrams (CVE-2022-21733)

Fixes more issues caused by incomplete validation in boosted trees code (CVE-2021-41208)

Fixes an integer overflows in most sparse component-wise ops (CVE-2022-23567)

Fixes an integer overflows in AddManySparseToTensorsMap (CVE-2022-23568)

Fixes a number of CHECK-failures in MapStage (CVE-2022-21734)

Fixes a division by zero in FractionalMaxPool (CVE-2022-21735)

Fixes a number of CHECK-fails when building invalid/overflowing tensor shapes (CVE-2022-23569)

Fixes an undefined behavior in SparseTensorSliceDataset (CVE-2022-21736)

Fixes an assertion failure based denial of service via faulty bin count operations (CVE-2022-21737)

Fixes a reference binding to null pointer in QuantizedMaxPool (CVE-2022-21739)

Fixes an integer overflow leading to crash in SparseCountSparseOutput (CVE-2022-21738)

Fixes a heap overflow in SparseCountSparseOutput (CVE-2022-21740)

Fixes an FPE in BiasAndClamp in TFLite (CVE-2022-23557)

Fixes an FPE in depthwise convolutions in TFLite (CVE-2022-21741)

Fixes an integer overflow in TFLite array creation (CVE-2022-23558)

Fixes an integer overflow in TFLite (CVE-2022-23559)

Fixes a dangerous OOB write in TFLite (CVE-2022-23561)

Fixes a vulnerability leading to read and write outside of bounds in TFLite (CVE-2022-23560)

Fixes a set of vulnerabilities caused by using insecure temporary files (CVE-2022-23563)

Fixes an integer overflow in Range resulting in undefined behavior and OOM (CVE-2022-23562)

Fixes a vulnerability where missing validation causes tf.sparse.split to crash when axis is a tuple (CVE-2021-41206)

Fixes a CHECK-fail when decoding resource handles from proto (CVE-2022-23564)

Fixes a CHECK-fail with repeated AttrDef (CVE-2022-23565)

Fixes a heap OOB write in Grappler (CVE-2022-23566)

Fixes a CHECK-fail when decoding invalid tensors from proto (CVE-2022-23571)

Fixes an unitialized variable access in AssignOp (CVE-2022-23573)

Fixes an integer overflow in OpLevelCostEstimator::CalculateTensorSize (CVE-2022-23575)

Fixes an integer overflow in OpLevelCostEstimator::CalculateOutputSize (CVE-2022-23576)

Fixes a null dereference in GetInitOp (CVE-2022-23577)

Fixes a memory leak when a graph node is invalid (CVE-2022-23578)

Fixes an abort caused by allocating a vector that is too large (CVE-2022-23580)

Fixes multiple CHECK-failures during Grappler's IsSimplifiableReshape (CVE-2022-23581)

Fixes multiple CHECK-failures during Grappler's SafeToRemoveIdentity (CVE-2022-23579)

Fixes multiple CHECK-failures in TensorByteSize (CVE-2022-23582)

Fixes multiple CHECK-failures in binary ops due to type confusion (CVE-2022-23583)

... (truncated)

Changelog

Sourced from tensorflow's changelog.

Release 2.5.3

This releases introduces several vulnerability fixes:

Fixes a floating point division by 0 when executing convolution operators (CVE-2022-21725)

Fixes a heap OOB read in shape inference for ReverseSequence (CVE-2022-21728)

Fixes a heap OOB access in Dequantize (CVE-2022-21726)

Fixes an integer overflow in shape inference for Dequantize (CVE-2022-21727)

Fixes a heap OOB access in FractionalAvgPoolGrad (CVE-2022-21730)

Fixes an overflow and divide by zero in UnravelIndex (CVE-2022-21729)

Fixes a type confusion in shape inference for ConcatV2 (CVE-2022-21731)

Fixes an OOM in ThreadPoolHandle (CVE-2022-21732)

Fixes an OOM due to integer overflow in StringNGrams (CVE-2022-21733)

Fixes more issues caused by incomplete validation in boosted trees code (CVE-2021-41208)

Fixes an integer overflows in most sparse component-wise ops (CVE-2022-23567)

Fixes an integer overflows in AddManySparseToTensorsMap (CVE-2022-23568)

Fixes a number of CHECK-failures in MapStage (CVE-2022-21734)

Fixes a division by zero in FractionalMaxPool (CVE-2022-21735)

Fixes a number of CHECK-fails when building invalid/overflowing tensor shapes (CVE-2022-23569)

Fixes an undefined behavior in SparseTensorSliceDataset (CVE-2022-21736)

Fixes an assertion failure based denial of service via faulty bin count operations (CVE-2022-21737)

Fixes a reference binding to null pointer in QuantizedMaxPool (CVE-2022-21739)

Fixes an integer overflow leading to crash in SparseCountSparseOutput (CVE-2022-21738)

Fixes a heap overflow in SparseCountSparseOutput (CVE-2022-21740)

Fixes an FPE in BiasAndClamp in TFLite (CVE-2022-23557)

Fixes an FPE in depthwise convolutions in TFLite (CVE-2022-21741)

... (truncated)

Commits

959e9b2 Merge pull request #54213 from tensorflow/fix-sanity-on-r2.5

d05fcbc Fix sanity build

f2526a0 Merge pull request #54205 from tensorflow/disable-flaky-tests-on-r2.5

a5f94df Disable flaky test

7babe52 Merge pull request #54201 from tensorflow/cherrypick-510ae18200d0a4fad797c0bf...

0e5d378 Set Env Variable to override Setuptools new behavior

fdd4195 Merge pull request #54176 from tensorflow-jenkins/relnotes-2.5.3-6805

4083165 Update RELEASE.md

a2bb7f1 Merge pull request #54185 from tensorflow/cherrypick-d437dec4d549fc30f9b85c75...

5777ea3 Update third_party/icu/workspace.bzl

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dependencies
opened by dependabot[bot] 1
Bump pillow from 8.1.2 to 9.0.0
Bumps pillow from 8.1.2 to 9.0.0.

Release notes

Sourced from pillow's releases.

9.0.0

https://pillow.readthedocs.io/en/stable/releasenotes/9.0.0.html

Changes

Restrict builtins for ImageMath.eval() #5923 [@radarhere]

Ensure JpegImagePlugin stops at the end of a truncated file #5921 [@radarhere]

Fixed ImagePath.Path array handling #5920 [@radarhere]

Remove consecutive duplicate tiles that only differ by their offset #5919 [@radarhere]

Removed redundant part of condition #5915 [@radarhere]

Explicitly enable strip chopping for large uncompressed TIFFs #5517 [@kmilos]

Use the Windows method to get TCL functions on Cygwin #5807 [@DWesl]

Changed error type to allow for incremental WebP parsing #5404 [@radarhere]

Improved I;16 operations on big endian #5901 [@radarhere]

Ensure that BMP pixel data offset does not ignore palette #5899 [@radarhere]

Limit quantized palette to number of colors #5879 [@radarhere]

Use latin1 encoding to decode bytes #5870 [@radarhere]

Fixed palette index for zeroed color in FASTOCTREE quantize #5869 [@radarhere]

When saving RGBA to GIF, make use of first transparent palette entry #5859 [@radarhere]

Pass SAMPLEFORMAT to libtiff #5848 [@radarhere]

Added rounding when converting P and PA #5824 [@radarhere]

Improved putdata() documentation and data handling #5910 [@radarhere]

Exclude carriage return in PDF regex to help prevent ReDoS #5912 [@radarhere]

Image.NONE is only used for resampling and dithers #5908 [@radarhere]

Fixed freeing pointer in ImageDraw.Outline.transform #5909 [@radarhere]

Add Tidelift alignment action and badge #5763 [@aclark4life]

Replaced further direct invocations of setup.py #5906 [@radarhere]

Added ImageShow support for xdg-open #5897 [@m-shinder]

Fixed typo #5902 [@radarhere]

Switched from deprecated "setup.py install" to "pip install ." #5896 [@radarhere]

Support 16-bit grayscale ImageQt conversion #5856 [@cmbruns]

Fixed raising OSError in _safe_read when size is greater than SAFEBLOCK #5872 [@radarhere]

Convert subsequent GIF frames to RGB or RGBA #5857 [@radarhere]

WebP: Fix memory leak during decoding on failure #5798 [@ilai-deutel]

Do not prematurely return in ImageFile when saving to stdout #5665 [@infmagic2047]

Added support for top right and bottom right TGA orientations #5829 [@radarhere]

Corrected ICNS file length in header #5845 [@radarhere]

Block tile TIFF tags when saving #5839 [@radarhere]

Added line width argument to ImageDraw polygon #5694 [@radarhere]

Do not redeclare class each time when converting to NumPy #5844 [@radarhere]

Only prevent repeated polygon pixels when drawing with transparency #5835 [@radarhere]

Fix pushes_fd method signature #5833 [@hoodmane]

Add support for pickling TrueType fonts #5826 [@hugovk]

Only prefer command line tools SDK on macOS over default MacOSX SDK #5828 [@radarhere]

Fix compilation on 64-bit Termux #5793 [@landfillbaby]

Replace 'setup.py sdist' with '-m build --sdist' #5785 [@hugovk]

Use declarative package configuration #5784 [@hugovk]

Use title for display in ImageShow #5788 [@radarhere]

Fix for PyQt6 #5775 [@hugovk]

... (truncated)

Changelog

Sourced from pillow's changelog.

9.0.0 (2022-01-02)

Restrict builtins for ImageMath.eval(). CVE-2022-22817 #5923 [radarhere]

Ensure JpegImagePlugin stops at the end of a truncated file #5921 [radarhere]

Fixed ImagePath.Path array handling. CVE-2022-22815, CVE-2022-22816 #5920 [radarhere]

Remove consecutive duplicate tiles that only differ by their offset #5919 [radarhere]

Improved I;16 operations on big endian #5901 [radarhere]

Limit quantized palette to number of colors #5879 [radarhere]

Fixed palette index for zeroed color in FASTOCTREE quantize #5869 [radarhere]

When saving RGBA to GIF, make use of first transparent palette entry #5859 [radarhere]

Pass SAMPLEFORMAT to libtiff #5848 [radarhere]

Added rounding when converting P and PA #5824 [radarhere]

Improved putdata() documentation and data handling #5910 [radarhere]

Exclude carriage return in PDF regex to help prevent ReDoS #5912 [hugovk]

Fixed freeing pointer in ImageDraw.Outline.transform #5909 [radarhere]

Added ImageShow support for xdg-open #5897 [m-shinder, radarhere]

Support 16-bit grayscale ImageQt conversion #5856 [cmbruns, radarhere]

Convert subsequent GIF frames to RGB or RGBA #5857 [radarhere]

... (truncated)

Commits

82541b6 9.0.0 version bump

cae5ac4 Merge pull request #5924 from radarhere/cves

ed4cf78 CVEs TBD

d7f60d1 Merge pull request #5923 from radarhere/imagemath_eval

8531b01 Restrict builtins for ImageMath.eval

1efb1d9 Merge pull request #5922 from radarhere/releasenotes

f6c7871 Added release notes for #5919, #5920 and #5921

032d2dc Update CHANGES.rst [ci skip]

baae9ec Merge pull request #5921 from radarhere/jpeg_eoi

1059eb5 If appended EOI did not work, do not keep trying

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dependencies
opened by dependabot[bot] 1
Bump pillow from 8.1.2 to 8.3.2
Bumps pillow from 8.1.2 to 8.3.2.

Release notes

Sourced from pillow's releases.

8.3.2

https://pillow.readthedocs.io/en/stable/releasenotes/8.3.2.html

Security

CVE-2021-23437 Raise ValueError if color specifier is too long [hugovk, radarhere]

Fix 6-byte OOB read in FliDecode [wiredfool]

Python 3.10 wheels

Add support for Python 3.10 #5569, #5570 [hugovk, radarhere]

Fixed regressions

Ensure TIFF RowsPerStrip is multiple of 8 for JPEG compression #5588 [kmilos, radarhere]

Updates for ImagePalette channel order #5599 [radarhere]

Hide FriBiDi shim symbols to avoid conflict with real FriBiDi library #5651 [nulano]

8.3.1

https://pillow.readthedocs.io/en/stable/releasenotes/8.3.1.html

Changes

Catch OSError when checking if fp is sys.stdout #5585 [@radarhere]

Handle removing orientation from alternate types of EXIF data #5584 [@radarhere]

Make Image.array take optional dtype argument #5572 [@t-vi]

8.3.0

https://pillow.readthedocs.io/en/stable/releasenotes/8.3.0.html

Changes

Use snprintf instead of sprintf #5567 [@radarhere]

Limit TIFF strip size when saving with LibTIFF #5514 [@kmilos]

Allow ICNS save on all operating systems #4526 [@newpanjing]

De-zigzag JPEG's DQT when loading; deprecate convert_dict_qtables #4989 [@gofr]

Do not use background or transparency index for new color #5564 [@radarhere]

Simplified code #5315 [@radarhere]

Replaced xml.etree.ElementTree #5565 [@radarhere]

... (truncated)

Changelog

Sourced from pillow's changelog.

8.3.2 (2021-09-02)

CVE-2021-23437 Raise ValueError if color specifier is too long [hugovk, radarhere]

Fix 6-byte OOB read in FliDecode [wiredfool]

Add support for Python 3.10 #5569, #5570 [hugovk, radarhere]

Ensure TIFF RowsPerStrip is multiple of 8 for JPEG compression #5588 [kmilos, radarhere]

Updates for ImagePalette channel order #5599 [radarhere]

Hide FriBiDi shim symbols to avoid conflict with real FriBiDi library #5651 [nulano]

8.3.1 (2021-07-06)

Catch OSError when checking if fp is sys.stdout #5585 [radarhere]

Handle removing orientation from alternate types of EXIF data #5584 [radarhere]

Make Image.array take optional dtype argument #5572 [t-vi, radarhere]

8.3.0 (2021-07-01)

Use snprintf instead of sprintf. CVE-2021-34552 #5567 [radarhere]

Limit TIFF strip size when saving with LibTIFF #5514 [kmilos]

Allow ICNS save on all operating systems #4526 [baletu, radarhere, newpanjing, hugovk]

De-zigzag JPEG's DQT when loading; deprecate convert_dict_qtables #4989 [gofr, radarhere]

Replaced xml.etree.ElementTree #5565 [radarhere]

... (truncated)

Commits

8013f13 8.3.2 version bump

23c7ca8 Update CHANGES.rst

8450366 Update release notes

a0afe89 Update test case

9e08eb8 Raise ValueError if color specifier is too long

bd5cf7d FLI tests for Oss-fuzz crash.

94a0cf1 Fix 6-byte OOB read in FliDecode

cece64f Add 8.3.2 (2021-09-02) [CI skip]

e422386 Add release notes for Pillow 8.3.2

08dcbb8 Pillow 8.3.2 supports Python 3.10 [ci skip]

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dependencies
opened by dependabot[bot] 1
Bump tensorflow from 2.3.2 to 2.5.1
Bumps tensorflow from 2.3.2 to 2.5.1.

Release notes

Sourced from tensorflow's releases.

TensorFlow 2.5.1

Release 2.5.1

This release introduces several vulnerability fixes:

Fixes a heap out of bounds access in sparse reduction operations (CVE-2021-37635)

Fixes a floating point exception in SparseDenseCwiseDiv (CVE-2021-37636)

Fixes a null pointer dereference in CompressElement (CVE-2021-37637)

Fixes a null pointer dereference in RaggedTensorToTensor (CVE-2021-37638)

Fixes a null pointer dereference and a heap OOB read arising from operations restoring tensors (CVE-2021-37639)

Fixes an integer division by 0 in sparse reshaping (CVE-2021-37640)

Fixes a division by 0 in ResourceScatterDiv (CVE-2021-37642)

Fixes a heap OOB in RaggedGather (CVE-2021-37641)

Fixes a std::abort raised from TensorListReserve (CVE-2021-37644)

Fixes a null pointer dereference in MatrixDiagPartOp (CVE-2021-37643)

Fixes an integer overflow due to conversion to unsigned (CVE-2021-37645)

Fixes a bad allocation error in StringNGrams caused by integer conversion (CVE-2021-37646)

Fixes a null pointer dereference in SparseTensorSliceDataset (CVE-2021-37647)

Fixes an incorrect validation of SaveV2 inputs (CVE-2021-37648)

Fixes a null pointer dereference in UncompressElement (CVE-2021-37649)

Fixes a segfault and a heap buffer overflow in {Experimental,}DatasetToTFRecord (CVE-2021-37650)

Fixes a heap buffer overflow in FractionalAvgPoolGrad (CVE-2021-37651)

Fixes a use after free in boosted trees creation (CVE-2021-37652)

Fixes a division by 0 in ResourceGather (CVE-2021-37653)

Fixes a heap OOB and a CHECK fail in ResourceGather (CVE-2021-37654)

Fixes a heap OOB in ResourceScatterUpdate (CVE-2021-37655)

Fixes an undefined behavior arising from reference binding to nullptr in RaggedTensorToSparse (CVE-2021-37656)

Fixes an undefined behavior arising from reference binding to nullptr in MatrixDiagV* ops (CVE-2021-37657)

Fixes an undefined behavior arising from reference binding to nullptr in MatrixSetDiagV* ops (CVE-2021-37658)

Fixes an undefined behavior arising from reference binding to nullptr and heap OOB in binary cwise ops (CVE-2021-37659)

Fixes a division by 0 in inplace operations (CVE-2021-37660)

Fixes a crash caused by integer conversion to unsigned (CVE-2021-37661)

Fixes an undefined behavior arising from reference binding to nullptr in boosted trees (CVE-2021-37662)

Fixes a heap OOB in boosted trees (CVE-2021-37664)

Fixes vulnerabilities arising from incomplete validation in QuantizeV2 (CVE-2021-37663)

Fixes vulnerabilities arising from incomplete validation in MKL requantization (CVE-2021-37665)

Fixes an undefined behavior arising from reference binding to nullptr in RaggedTensorToVariant (CVE-2021-37666)

Fixes an undefined behavior arising from reference binding to nullptr in unicode encoding (CVE-2021-37667)

Fixes an FPE in tf.raw_ops.UnravelIndex (CVE-2021-37668)

Fixes a crash in NMS ops caused by integer conversion to unsigned (CVE-2021-37669)

Fixes a heap OOB in UpperBound and LowerBound (CVE-2021-37670)

Fixes an undefined behavior arising from reference binding to nullptr in map operations (CVE-2021-37671)

Fixes a heap OOB in SdcaOptimizerV2 (CVE-2021-37672)

Fixes a CHECK-fail in MapStage (CVE-2021-37673)

Fixes a vulnerability arising from incomplete validation in MaxPoolGrad (CVE-2021-37674)

Fixes an undefined behavior arising from reference binding to nullptr in shape inference (CVE-2021-37676)

Fixes a division by 0 in most convolution operators (CVE-2021-37675)

Fixes vulnerabilities arising from missing validation in shape inference for Dequantize (CVE-2021-37677)

Fixes an arbitrary code execution due to YAML deserialization (CVE-2021-37678)

Fixes a heap OOB in nested tf.map_fn with RaggedTensors (CVE-2021-37679)

... (truncated)

Changelog

Sourced from tensorflow's changelog.

Release 2.5.1

This release introduces several vulnerability fixes:

Fixes a heap out of bounds access in sparse reduction operations (CVE-2021-37635)

Fixes a floating point exception in SparseDenseCwiseDiv (CVE-2021-37636)

Fixes a null pointer dereference in CompressElement (CVE-2021-37637)

Fixes a null pointer dereference in RaggedTensorToTensor (CVE-2021-37638)

Fixes a null pointer dereference and a heap OOB read arising from operations restoring tensors (CVE-2021-37639)

Fixes an integer division by 0 in sparse reshaping (CVE-2021-37640)

Fixes a division by 0 in ResourceScatterDiv (CVE-2021-37642)

Fixes a heap OOB in RaggedGather (CVE-2021-37641)

Fixes a std::abort raised from TensorListReserve (CVE-2021-37644)

Fixes a null pointer dereference in MatrixDiagPartOp (CVE-2021-37643)

Fixes an integer overflow due to conversion to unsigned (CVE-2021-37645)

Fixes a bad allocation error in StringNGrams caused by integer conversion (CVE-2021-37646)

Fixes a null pointer dereference in SparseTensorSliceDataset (CVE-2021-37647)

Fixes an incorrect validation of SaveV2 inputs (CVE-2021-37648)

Fixes a null pointer dereference in UncompressElement (CVE-2021-37649)

Fixes a segfault and a heap buffer overflow in {Experimental,}DatasetToTFRecord (CVE-2021-37650)

Fixes a heap buffer overflow in FractionalAvgPoolGrad (CVE-2021-37651)

Fixes a use after free in boosted trees creation (CVE-2021-37652)

Fixes a division by 0 in ResourceGather (CVE-2021-37653)

Fixes a heap OOB and a CHECK fail in ResourceGather (CVE-2021-37654)

Fixes a heap OOB in ResourceScatterUpdate (CVE-2021-37655)

Fixes an undefined behavior arising from reference binding to nullptr in RaggedTensorToSparse

... (truncated)

Commits

8222c1c Merge pull request #51381 from tensorflow/mm-fix-r2.5-build

d584260 Disable broken/flaky test

f6c6ce3 Merge pull request #51367 from tensorflow-jenkins/version-numbers-2.5.1-17468

3ca7812 Update version numbers to 2.5.1

4fdf683 Merge pull request #51361 from tensorflow/mm-update-relnotes-on-r2.5

05fc01a Put CVE numbers for fixes in parentheses

bee1dc4 Update release notes for the new patch release

47beb4c Merge pull request #50597 from kruglov-dmitry/v2.5.0-sync-abseil-cmake-bazel

6f39597 Merge pull request #49383 from ashahab/abin-load-segfault-r2.5

0539b34 Merge pull request #48979 from liufengdb/r2.5-cherrypick

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dependencies
opened by dependabot[bot] 1
Bump pillow from 8.1.2 to 9.3.0
Bumps pillow from 8.1.2 to 9.3.0.

Release notes

Sourced from pillow's releases.

9.3.0

https://pillow.readthedocs.io/en/stable/releasenotes/9.3.0.html

Changes

Initialize libtiff buffer when saving #6699 [@radarhere]

Limit SAMPLESPERPIXEL to avoid runtime DOS #6700 [@wiredfool]

Inline fname2char to fix memory leak #6329 [@nulano]

Fix memory leaks related to text features #6330 [@nulano]

Use double quotes for version check on old CPython on Windows #6695 [@hugovk]

GHA: replace deprecated set-output command with GITHUB_OUTPUT file #6697 [@nulano]

Remove backup implementation of Round for Windows platforms #6693 [@cgohlke]

Upload fribidi.dll to GitHub Actions #6532 [@nulano]

Fixed set_variation_by_name offset #6445 [@radarhere]

Windows build improvements #6562 [@nulano]

Fix malloc in _imagingft.c:font_setvaraxes #6690 [@cgohlke]

Only use ASCII characters in C source file #6691 [@cgohlke]

Release Python GIL when converting images using matrix operations #6418 [@hmaarrfk]

Added ExifTags enums #6630 [@radarhere]

Do not modify previous frame when calculating delta in PNG #6683 [@radarhere]

Added support for reading BMP images with RLE4 compression #6674 [@npjg]

Decode JPEG compressed BLP1 data in original mode #6678 [@radarhere]

pylint warnings #6659 [@marksmayo]

Added GPS TIFF tag info #6661 [@radarhere]

Added conversion between RGB/RGBA/RGBX and LAB #6647 [@radarhere]

Do not attempt normalization if mode is already normal #6644 [@radarhere]

Fixed seeking to an L frame in a GIF #6576 [@radarhere]

Consider all frames when selecting mode for PNG save_all #6610 [@radarhere]

Don't reassign crc on ChunkStream close #6627 [@radarhere]

Raise a warning if NumPy failed to raise an error during conversion #6594 [@radarhere]

Only read a maximum of 100 bytes at a time in IMT header #6623 [@radarhere]

Show all frames in ImageShow #6611 [@radarhere]

Allow FLI palette chunk to not be first #6626 [@radarhere]

If first GIF frame has transparency for RGB_ALWAYS loading strategy, use RGBA mode #6592 [@radarhere]

Round box position to integer when pasting embedded color #6517 [@radarhere]

Removed EXIF prefix when saving WebP #6582 [@radarhere]

Pad IM palette to 768 bytes when saving #6579 [@radarhere]

Added DDS BC6H reading #6449 [@ShadelessFox]

Added support for opening WhiteIsZero 16-bit integer TIFF images #6642 [@JayWiz]

Raise an error when allocating translucent color to RGB palette #6654 [@jsbueno]

Moved mode check outside of loops #6650 [@radarhere]

Added reading of TIFF child images #6569 [@radarhere]

Improved ImageOps palette handling #6596 [@PososikTeam]

Defer parsing of palette into colors #6567 [@radarhere]

Apply transparency to P images in ImageTk.PhotoImage #6559 [@radarhere]

Use rounding in ImageOps contain() and pad() #6522 [@bibinhashley]

Fixed GIF remapping to palette with duplicate entries #6548 [@radarhere]

Allow remap_palette() to return an image with less than 256 palette entries #6543 [@radarhere]

Corrected BMP and TGA palette size when saving #6500 [@radarhere]

... (truncated)

Changelog

Sourced from pillow's changelog.

9.3.0 (2022-10-29)

Limit SAMPLESPERPIXEL to avoid runtime DOS #6700 [wiredfool]

Initialize libtiff buffer when saving #6699 [radarhere]

Inline fname2char to fix memory leak #6329 [nulano]

Fix memory leaks related to text features #6330 [nulano]

Use double quotes for version check on old CPython on Windows #6695 [hugovk]

Remove backup implementation of Round for Windows platforms #6693 [cgohlke]

Fixed set_variation_by_name offset #6445 [radarhere]

Fix malloc in _imagingft.c:font_setvaraxes #6690 [cgohlke]

Release Python GIL when converting images using matrix operations #6418 [hmaarrfk]

Added ExifTags enums #6630 [radarhere]

Do not modify previous frame when calculating delta in PNG #6683 [radarhere]

Added support for reading BMP images with RLE4 compression #6674 [npjg, radarhere]

Decode JPEG compressed BLP1 data in original mode #6678 [radarhere]

Added GPS TIFF tag info #6661 [radarhere]

Added conversion between RGB/RGBA/RGBX and LAB #6647 [radarhere]

Do not attempt normalization if mode is already normal #6644 [radarhere]

... (truncated)

Commits

d594f4c Update CHANGES.rst [ci skip]

909dc64 9.3.0 version bump

1a51ce7 Merge pull request #6699 from hugovk/security-libtiff_buffer

2444cdd Merge pull request #6700 from hugovk/security-samples_per_pixel-sec

744f455 Added release notes

0846bfa Add to release notes

799a6a0 Fix linting

00b25fd Hide UserWarning in logs

05b175e Tighter test case

13f2c5a Prevent DOS with large SAMPLESPERPIXEL in Tiff IFD

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dependencies
opened by dependabot[bot] 0
Bump tensorflow from 2.3.2 to 2.9.3
Bumps tensorflow from 2.3.2 to 2.9.3.

Release notes

Sourced from tensorflow's releases.

TensorFlow 2.9.3

Release 2.9.3

This release introduces several vulnerability fixes:

Fixes an overflow in tf.keras.losses.poisson (CVE-2022-41887)

Fixes a heap OOB failure in ThreadUnsafeUnigramCandidateSampler caused by missing validation (CVE-2022-41880)

Fixes a segfault in ndarray_tensor_bridge (CVE-2022-41884)

Fixes an overflow in FusedResizeAndPadConv2D (CVE-2022-41885)

Fixes a overflow in ImageProjectiveTransformV2 (CVE-2022-41886)

Fixes an FPE in tf.image.generate_bounding_box_proposals on GPU (CVE-2022-41888)

Fixes a segfault in pywrap_tfe_src caused by invalid attributes (CVE-2022-41889)

Fixes a CHECK fail in BCast (CVE-2022-41890)

Fixes a segfault in TensorListConcat (CVE-2022-41891)

Fixes a CHECK_EQ fail in TensorListResize (CVE-2022-41893)

Fixes an overflow in CONV_3D_TRANSPOSE on TFLite (CVE-2022-41894)

Fixes a heap OOB in MirrorPadGrad (CVE-2022-41895)

Fixes a crash in Mfcc (CVE-2022-41896)

Fixes a heap OOB in FractionalMaxPoolGrad (CVE-2022-41897)

Fixes a CHECK fail in SparseFillEmptyRowsGrad (CVE-2022-41898)

Fixes a CHECK fail in SdcaOptimizer (CVE-2022-41899)

Fixes a heap OOB in FractionalAvgPool and FractionalMaxPool(CVE-2022-41900)

Fixes a CHECK_EQ in SparseMatrixNNZ (CVE-2022-41901)

Fixes an OOB write in grappler (CVE-2022-41902)

Fixes a overflow in ResizeNearestNeighborGrad (CVE-2022-41907)

Fixes a CHECK fail in PyFunc (CVE-2022-41908)

Fixes a segfault in CompositeTensorVariantToComponents (CVE-2022-41909)

Fixes a invalid char to bool conversion in printing a tensor (CVE-2022-41911)

Fixes a heap overflow in QuantizeAndDequantizeV2 (CVE-2022-41910)

Fixes a CHECK failure in SobolSample via missing validation (CVE-2022-35935)

Fixes a CHECK fail in TensorListScatter and TensorListScatterV2 in eager mode (CVE-2022-35935)

TensorFlow 2.9.2

Release 2.9.2

This releases introduces several vulnerability fixes:

Fixes a CHECK failure in tf.reshape caused by overflows (CVE-2022-35934)

Fixes a CHECK failure in SobolSample caused by missing validation (CVE-2022-35935)

Fixes an OOB read in Gather_nd op in TF Lite (CVE-2022-35937)

Fixes a CHECK failure in TensorListReserve caused by missing validation (CVE-2022-35960)

Fixes an OOB write in Scatter_nd op in TF Lite (CVE-2022-35939)

Fixes an integer overflow in RaggedRangeOp (CVE-2022-35940)

Fixes a CHECK failure in AvgPoolOp (CVE-2022-35941)

Fixes a CHECK failures in UnbatchGradOp (CVE-2022-35952)

Fixes a segfault TFLite converter on per-channel quantized transposed convolutions (CVE-2022-36027)

Fixes a CHECK failures in AvgPool3DGrad (CVE-2022-35959)

Fixes a CHECK failures in FractionalAvgPoolGrad (CVE-2022-35963)

Fixes a segfault in BlockLSTMGradV2 (CVE-2022-35964)

Fixes a segfault in LowerBound and UpperBound (CVE-2022-35965)

... (truncated)

Changelog

Sourced from tensorflow's changelog.

Release 2.9.3

This release introduces several vulnerability fixes:

Fixes an overflow in tf.keras.losses.poisson (CVE-2022-41887)

Fixes a heap OOB failure in ThreadUnsafeUnigramCandidateSampler caused by missing validation (CVE-2022-41880)

Fixes a segfault in ndarray_tensor_bridge (CVE-2022-41884)

Fixes an overflow in FusedResizeAndPadConv2D (CVE-2022-41885)

Fixes a overflow in ImageProjectiveTransformV2 (CVE-2022-41886)

Fixes an FPE in tf.image.generate_bounding_box_proposals on GPU (CVE-2022-41888)

Fixes a segfault in pywrap_tfe_src caused by invalid attributes (CVE-2022-41889)

Fixes a CHECK fail in BCast (CVE-2022-41890)

Fixes a segfault in TensorListConcat (CVE-2022-41891)

Fixes a CHECK_EQ fail in TensorListResize (CVE-2022-41893)

Fixes an overflow in CONV_3D_TRANSPOSE on TFLite (CVE-2022-41894)

Fixes a heap OOB in MirrorPadGrad (CVE-2022-41895)

Fixes a crash in Mfcc (CVE-2022-41896)

Fixes a heap OOB in FractionalMaxPoolGrad (CVE-2022-41897)

Fixes a CHECK fail in SparseFillEmptyRowsGrad (CVE-2022-41898)

Fixes a CHECK fail in SdcaOptimizer (CVE-2022-41899)

Fixes a heap OOB in FractionalAvgPool and FractionalMaxPool(CVE-2022-41900)

Fixes a CHECK_EQ in SparseMatrixNNZ (CVE-2022-41901)

Fixes an OOB write in grappler (CVE-2022-41902)

Fixes a overflow in ResizeNearestNeighborGrad (CVE-2022-41907)

Fixes a CHECK fail in PyFunc (CVE-2022-41908)

Fixes a segfault in CompositeTensorVariantToComponents (CVE-2022-41909)

Fixes a invalid char to bool conversion in printing a tensor (CVE-2022-41911)

Fixes a heap overflow in QuantizeAndDequantizeV2 (CVE-2022-41910)

Fixes a CHECK failure in SobolSample via missing validation (CVE-2022-35935)

Fixes a CHECK fail in TensorListScatter and TensorListScatterV2 in eager mode (CVE-2022-35935)

Release 2.8.4

This release introduces several vulnerability fixes:

Fixes a heap OOB failure in ThreadUnsafeUnigramCandidateSampler caused by missing validation (CVE-2022-41880)

Fixes a segfault in ndarray_tensor_bridge (CVE-2022-41884)

Fixes an overflow in FusedResizeAndPadConv2D (CVE-2022-41885)

Fixes a overflow in ImageProjectiveTransformV2 (CVE-2022-41886)

Fixes an FPE in tf.image.generate_bounding_box_proposals on GPU (CVE-2022-41888)

Fixes a segfault in pywrap_tfe_src caused by invalid attributes (CVE-2022-41889)

Fixes a CHECK fail in BCast (CVE-2022-41890)

Fixes a segfault in TensorListConcat (CVE-2022-41891)

Fixes a CHECK_EQ fail in TensorListResize (CVE-2022-41893)

Fixes an overflow in CONV_3D_TRANSPOSE on TFLite (CVE-2022-41894)

Fixes a heap OOB in MirrorPadGrad (CVE-2022-41895)

Fixes a crash in Mfcc (CVE-2022-41896)

Fixes a heap OOB in FractionalMaxPoolGrad (CVE-2022-41897)

Fixes a CHECK fail in SparseFillEmptyRowsGrad (CVE-2022-41898)

Fixes a CHECK fail in SdcaOptimizer (CVE-2022-41899)

... (truncated)

Commits

a5ed5f3 Merge pull request #58584 from tensorflow/vinila21-patch-2

258f9a1 Update py_func.cc

cd27cfb Merge pull request #58580 from tensorflow-jenkins/version-numbers-2.9.3-24474

3e75385 Update version numbers to 2.9.3

bc72c39 Merge pull request #58482 from tensorflow-jenkins/relnotes-2.9.3-25695

3506c90 Update RELEASE.md

8dcb48e Update RELEASE.md

4f34ec8 Merge pull request #58576 from pak-laura/c2.99f03a9d3bafe902c1e6beb105b2f2417...

6fc67e4 Replace CHECK with returning an InternalError on failing to create python tuple

5dbe90a Merge pull request #58570 from tensorflow/r2.9-7b174a0f2e4

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dependencies
opened by dependabot[bot] 0
How can I add Upsampling2D at end of mv2_cpm?

In https://github.com/edvardHua/PoseEstimationForMobile, His Cpm model has resizebilinear at the end of network so its output shape is 1 x 96 x 96 x 17 so how can I add Upsampling2D at the end of mv2_cpm?

opened by reflelia 0
Bump numpy from 1.17.5 to 1.22.0
Bumps numpy from 1.17.5 to 1.22.0.

Release notes

Sourced from numpy's releases.

v1.22.0

NumPy 1.22.0 Release Notes

NumPy 1.22.0 is a big release featuring the work of 153 contributors spread over 609 pull requests. There have been many improvements, highlights are:

Annotations of the main namespace are essentially complete. Upstream is a moving target, so there will likely be further improvements, but the major work is done. This is probably the most user visible enhancement in this release.

A preliminary version of the proposed Array-API is provided. This is a step in creating a standard collection of functions that can be used across application such as CuPy and JAX.

NumPy now has a DLPack backend. DLPack provides a common interchange format for array (tensor) data.

New methods for quantile, percentile, and related functions. The new methods provide a complete set of the methods commonly found in the literature.

A new configurable allocator for use by downstream projects.

These are in addition to the ongoing work to provide SIMD support for commonly used functions, improvements to F2PY, and better documentation.

The Python versions supported in this release are 3.8-3.10, Python 3.7 has been dropped. Note that 32 bit wheels are only provided for Python 3.8 and 3.9 on Windows, all other wheels are 64 bits on account of Ubuntu, Fedora, and other Linux distributions dropping 32 bit support. All 64 bit wheels are also linked with 64 bit integer OpenBLAS, which should fix the occasional problems encountered by folks using truly huge arrays.

Expired deprecations

Deprecated numeric style dtype strings have been removed

Using the strings "Bytes0", "Datetime64", "Str0", "Uint32", and "Uint64" as a dtype will now raise a TypeError.

(gh-19539)

Expired deprecations for loads, ndfromtxt, and mafromtxt in npyio

numpy.loads was deprecated in v1.15, with the recommendation that users use pickle.loads instead. ndfromtxt and mafromtxt were both deprecated in v1.17 - users should use numpy.genfromtxt instead with the appropriate value for the usemask parameter.

(gh-19615)

... (truncated)

Commits

4adc87d Merge pull request #20685 from charris/prepare-for-1.22.0-release

fd66547 REL: Prepare for the NumPy 1.22.0 release.

125304b wip

c283859 Merge pull request #20682 from charris/backport-20416

5399c03 Merge pull request #20681 from charris/backport-20954

f9c45f8 Merge pull request #20680 from charris/backport-20663

794b36f Update armccompiler.py

d93b14e Update test_public_api.py

7662c07 Update init.py

311ab52 Update armccompiler.py

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opened by dependabot[bot] 0
RAM memory increases

I use Colab to retrain with custom data. I noticed that after saving the model (5000 steps), I see an increase in the amount of RAM. It could also be due to the val_step function or something else. Has anyone come across a case like this?

opened by tuandoan998 0
Bump ipython from 7.21.0 to 7.31.1
Bumps ipython from 7.21.0 to 7.31.1.

Commits

e321e76 release 7.31.1

67ca2b3 Merge pull request from GHSA-pq7m-3gw7-gq5x

2794330 back to dev

be343e7 release 7.31.0

0fcf2c4 Merge pull request #13428 from meeseeksmachine/auto-backport-of-pr-13427-on-7.x

b8db9b1 Backport PR #13427: wn 731

7f253dc Merge pull request #13412 from bnavigator/backport-inspect

4f26796 fix xxlimited_35 import name

77ca4a6 don't run nose-based iptest on py310, only pytest

533e509 back to decorator skip

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opened by dependabot[bot] 0