A list of Machine Learning Art Colabs

ValueError: Cannot feed value of shape (3, 3, 512, 256) for Tensor 'G_synthesis/64x64/Conv0_up/weight/new_value:0', which has shape '(3, 3, 512, 512)'

Hi there, I'm getting the following error when trying to run this notebook:

Traceback (most recent call last): File "train.py", line 645, in main() File "train.py", line 637, in main run_training(**vars(args)) File "train.py", line 522, in run_training training_loop.training_loop(**training_options) File "/content/drive/My Drive/colab-sg2-ada/stylegan2-ada/training/training_loop.py", line 129, in training_loop G.copy_vars_from(rG) File "/content/drive/My Drive/colab-sg2-ada/stylegan2-ada/dnnlib/tflib/network.py", line 512, in copy_vars_from self._components[name].copy_vars_from(src_comp) File "/content/drive/My Drive/colab-sg2-ada/stylegan2-ada/dnnlib/tflib/network.py", line 509, in copy_vars_from self.copy_own_vars_from(src_net) File "/content/drive/My Drive/colab-sg2-ada/stylegan2-ada/dnnlib/tflib/network.py", line 482, in copy_own_vars_from tfutil.set_vars({self._get_vars()[name]: value for name, value in value_dict.items() if name in self._get_vars()}) File "/content/drive/My Drive/colab-sg2-ada/stylegan2-ada/dnnlib/tflib/tfutil.py", line 227, in set_vars run(ops, feed_dict) File "/content/drive/My Drive/colab-sg2-ada/stylegan2-ada/dnnlib/tflib/tfutil.py", line 33, in run return tf.get_default_session().run(*args, **kwargs) File "/tensorflow-1.15.2/python3.7/tensorflow_core/python/client/session.py", line 956, in run run_metadata_ptr) File "/tensorflow-1.15.2/python3.7/tensorflow_core/python/client/session.py", line 1156, in _run (np_val.shape, subfeed_t.name, str(subfeed_t.get_shape()))) ValueError: Cannot feed value of shape (3, 3, 512, 256) for Tensor 'G_synthesis/64x64/Conv0_up/weight/new_value:0', which has shape '(3, 3, 512, 512)'

Can you please help me debug this? Since it is coming from the files I didn't write and I am a beginner, I am not sure how to tackle this. Thank you!

opened by eluzzi5 1
Add a jukebox notebook

I came across this notebook in the issues of the jukebox repo. It allows for some things that official jukebox notebook couldn't do and adds checkpointing to help alleviate colab instances being preempted during generation.

opened by JCBrouwer 0
Pix2PixHD Hanging at 'create web directory'

Hi there, I'm running Pix2PixHD_Next_Frame_Prediction.ipynb in Google colab, following the link to 'open in colab' on this page: https://github.com/dvschultz/ml-art-colabs/blob/master/Pix2PixHD_Next_Frame_Prediction.ipynb Everything works well until I start 'Initial Training' where it hangs at 'create web directory' & no epochs appear beneath. Apparently I'm connected to a Tesla K80 GPU. Tried restarting the runtime a few times and it always hangs at the same place. I left it a good 30 mins or more, and the dataset is only ~350 images at 1280x736 pixels (which seemed to work well when I tried this a few months ago!) It gets as far as making the 'web' folder which contains 'loss_log.txt' and 'opt.txt' - but nothing else.

opened by iamekm 0
No longer seeing Swing videos outputted

depth_edge_model_ckpt: checkpoints/edge-model.pth depth_feat_model_ckpt: checkpoints/depth-model.pth rgb_feat_model_ckpt: checkpoints/color-model.pth MiDaS_model_ckpt: MiDaS/model.pt use_boostmonodepth: True fps: 40 num_frames: 600 x_shift_range: [0.00, 0.00, -0.015, -0.015] y_shift_range: [0.00, 0.00, -0.015, -0.00] z_shift_range: [-0.05, -0.05, -0.05, -0.05] traj_types: ['double-straight-line', 'double-straight-line', 'circle', 'circle'] video_postfix: ['dolly-zoom-in', 'zoom-in', 'circle', 'swing'] specific: '' longer_side_len: 960 src_folder: image depth_folder: depth mesh_folder: mesh video_folder: video load_ply: False save_ply: True inference_video: True gpu_ids: 0 offscreen_rendering: False img_format: '.jpg' depth_format: '.npy' require_midas: True depth_threshold: 0.04 ext_edge_threshold: 0.002 sparse_iter: 5 filter_size: [7, 7, 5, 5, 5] sigma_s: 4.0 sigma_r: 0.5 redundant_number: 12 background_thickness: 70 context_thickness: 140 background_thickness_2: 70 context_thickness_2: 70 discount_factor: 1.00 log_depth: True largest_size: 512 depth_edge_dilate: 10 depth_edge_dilate_2: 5 extrapolate_border: True extrapolation_thickness: 60 repeat_inpaint_edge: True crop_border: [0.03, 0.03, 0.05, 0.03] anti_flickering: True

Potentially a limit related/caused to the input image resolution?

opened by Ghee36 0
Pix2PixHD_Next_Frame_Prediction: error changing start frame

Hi, in colab version of "Pix2PixHD_Next_Frame_Prediction", when trying to generate video using the parameter START FROM:

!python generate_video.py --name cuttlefish1 --dataroot ./datasets/cuttlefish1/ --fps 24 --how_many 600 --which_epoch latest --start_from 100

I get this error: NameError: name 't' is not defined

Any clue? Thanks in advance

opened by smithee77 1
Demucs.ipynb "%cd demucs/" instead of "%cd /content/demucs"

https://github.com/dvschultz/ml-art-colabs/blob/master/Demucs.ipynb?short_path=102e2a5

There is a mistake in line 145. It should be: "%cd /content/demucs"instead of "%cd demucs/"otherwise the notebook won't work properly

Even in the moment of that video it is shown that previously it was "%cd /content/demucs"

https://youtu.be/tHxsqFcx7gw?t=296

Furthemore - !zip -r AI_01-tasnet_extra-shifts.zip ./separated/tasnet_extra/your_track_name_without_extension/* instead of !zip -r AI_01-tasnet_extra-shifts.zip ./separated/demucs/your_track_name_without_extension/*

otherwise it won't work

And you could add the line in the very end: from google.colab import files files.download('AI_01-tasnet_extra-shifts.zip') to actually allow to download the result file

opened by deton24 0

Owner

Derrick Schultz (he/him)

Artists who uses code. Most of this stuff isn’t production level—I’m an artist first, programmer second.

GitHub

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Comments

ValueError: Cannot feed value of shape (3, 3, 512, 256) for Tensor 'G_synthesis/64x64/Conv0_up/weight/new_value:0', which has shape '(3, 3, 512, 512)'

Add a jukebox notebook

Pix2PixHD Hanging at 'create web directory'

No longer seeing Swing videos outputted

Pix2PixHD_Next_Frame_Prediction: error changing start frame

Demucs.ipynb "%cd demucs/" instead of "%cd /content/demucs"

Owner

Derrick Schultz (he/him)

Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive learning.

A comprehensive list of published machine learning applications to cosmology

deep-table implements various state-of-the-art deep learning and self-supervised learning algorithms for tabular data using PyTorch.

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

Scripts of Machine Learning Algorithms from Scratch. Implementations of machine learning models and algorithms using nothing but NumPy with a focus on accessibility. Aims to cover everything from basic to advance.

This is a Machine Learning Based Hand Detector Project, It Uses Machine Learning Models and Modules Like Mediapipe, Developed By Google!

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