Torchyolo - Yolov3 ve Yolov4 modellerin Pytorch uygulamasıdır

Kadir Nar

Last update: Aug 22, 2022

Related tags

Deep Learning torchyolo

Overview

TORCHYOLO : Yolo Modellerin Pytorch Uygulaması

Yapılacaklar:

Yolov3 model.py ve detect.py dosyası basitleştirilecek.
Farklı nms algoritmaları test edilecek.

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Comments

Uninstalling the visualization module of Yolov6

This is model use their own visualization libraries. But the visualization parameters are not enough. That's why the visualization module of the torchyolo library will be added.
bug enhancement

opened by kadirnar 0

Releases(v0.0.1)

v0.0.1(Jan 7, 2023)
Yolov7

| Model | Test Size | AP^test | AP₅₀^test | AP₇₅^test | batch 1 fps | batch 32 average time | | :-- | :-: | :-: | :-: | :-: | :-: | :-: | | YOLOv7 | 640 | 51.4% | 69.7% | 55.9% | 161 fps | 2.8 ms | | YOLOv7-X | 640 | 53.1% | 71.2% | 57.8% | 114 fps | 4.3 ms | | | | | | | | | | YOLOv7-W6 | 1280 | 54.9% | 72.6% | 60.1% | 84 fps | 7.6 ms | | YOLOv7-E6 | 1280 | 56.0% | 73.5% | 61.2% | 56 fps | 12.3 ms | | YOLOv7-D6 | 1280 | 56.6% | 74.0% | 61.8% | 44 fps | 15.0 ms | | YOLOv7-E6E | 1280 | 56.8% | 74.4% | 62.1% | 36 fps | 18.7 ms |

Yolov6

Model | Size | mAPval0.5:0.95 | SpeedT4trt fp16 b1(fps) | SpeedT4trt fp16 b32(fps) | Params(M) | FLOPs(G) -- | -- | -- | -- | -- | -- | -- YOLOv6-N | 640 | 37.5 | 779 | 1187 | 4.7 | 11.4 YOLOv6-S | 640 | 45.0 | 339 | 484 | 18.5 | 45.3 YOLOv6-M | 640 | 50.0 | 175 | 226 | 34.9 | 85.8 YOLOv6-L | 640 | 52.8 | 98 | 116 | 59.6 | 150.7 YOLOv6-N6 | 1280 | 44.9 | 228 | 281 | 10.4 | 49.8 YOLOv6-S6 | 1280 | 50.3 | 98 |108 | 41.4 | 198.0 YOLOv6-M6 | 1280 | 55.2 | 47 | 55 | 79.6 | 379.5 YOLOv6-L6 | 1280 | 57.2 | 26 | 29 | 140.4 | 673.4

Yolov5

| Model | size
^{(pixels) | mAP^{val
50-95 | mAP^{val
50 | Speed
^{CPU b1
(ms) | Speed
^{V100 b1
(ms) | Speed
^{V100 b32
(ms) | params
^{(M) | FLOPs
^{@640 (B) |
|------------------------------------------------------------------------------------------------------|-----------------------|----------------------|-------------------|------------------------------|-------------------------------|--------------------------------|--------------------|------------------------|
| YOLOv5n | 640 | 28.0 | 45.7 | 45 | 6.3 | 0.6 | 1.9 | 4.5 |
| YOLOv5s | 640 | 37.4 | 56.8 | 98 | 6.4 | 0.9 | 7.2 | 16.5 |
| YOLOv5m | 640 | 45.4 | 64.1 | 224 | 8.2 | 1.7 | 21.2 | 49.0 |
| YOLOv5l | 640 | 49.0 | 67.3 | 430 | 10.1 | 2.7 | 46.5 | 109.1 |
| YOLOv5x | 640 | 50.7 | 68.9 | 766 | 12.1 | 4.8 | 86.7 | 205.7 |
| | | | | | | | | |
| YOLOv5n6 | 1280 | 36.0 | 54.4 | 153 | 8.1 | 2.1 | 3.2 | 4.6 |
| YOLOv5s6 | 1280 | 44.8 | 63.7 | 385 | 8.2 | 3.6 | 12.6 | 16.8 |
| YOLOv5m6 | 1280 | 51.3 | 69.3 | 887 | 11.1 | 6.8 | 35.7 | 50.0 |
| YOLOv5l6 | 1280 | 53.7 | 71.3 | 1784 | 15.8 | 10.5 | 76.8 | 111.4 |
| YOLOv5x6
+ [TTA] | 1280
1536 | 55.0
55.8 | 72.7
72.7 | 3136
- | 26.2
- | 19.4
- | 140.7
- | 209.8
- |}}}}}}}}

YOLOX

|Model |size |mAP^{val
0.5:0.95 |mAP^{test
0.5:0.95 | Speed V100
(ms) | Params
(M) |FLOPs
(G)| weights |
| ------ |:---: | :---: | :---: |:---: |:---: | :---: | :----: |
|YOLOX-s |640 |40.5 |40.5 |9.8 |9.0 | 26.8 | github |
|YOLOX-m |640 |46.9 |47.2 |12.3 |25.3 |73.8| github |
|YOLOX-l |640 |49.7 |50.1 |14.5 |54.2| 155.6 | github |
|YOLOX-x |640 |51.1 |51.5 | 17.3 |99.1 |281.9 | github |
|YOLOX-Darknet53 |640 | 47.7 | 48.0 | 11.1 |63.7 | 185.3 | github |}}

|Model |size |mAP^{val
0.5:0.95 | Params
(M) |FLOPs
(G)| weights |
| ------ |:---: | :---: |:---: |:---: | :---: |
|YOLOX-Nano |416 |25.8 | 0.91 |1.08 | github |
|YOLOX-Tiny |416 |32.8 | 5.06 |6.45 | github |}

What's Changed

The base config of the torchyolo library has been improved. by @kadirnar in https://github.com/kadirnar/torchyolo/pull/1

Add the Yolov5 model. by @kadirnar in https://github.com/kadirnar/torchyolo/pull/2

Add show image by @kadirnar in https://github.com/kadirnar/torchyolo/pull/3

Added automodel module. by @kadirnar in https://github.com/kadirnar/torchyolo/pull/4

Added yolov7,yolov6 and yolox models. by @kadirnar in https://github.com/kadirnar/torchyolo/pull/11

The readme file has been updated. by @kadirnar in https://github.com/kadirnar/torchyolo/pull/12

Added pip support. by @kadirnar in https://github.com/kadirnar/torchyolo/pull/13

Added script for package update. by @kadirnar in https://github.com/kadirnar/torchyolo/pull/14

Updated the Yollov6 visualization module. by @kadirnar in https://github.com/kadirnar/torchyolo/pull/19

Updated the Yolox visualization module. by @kadirnar in https://github.com/kadirnar/torchyolo/pull/21

New Contributors

@kadirnar made their first contribution in https://github.com/kadirnar/torchyolo/pull/1

Full Changelog: https://github.com/kadirnar/torchyolo/commits/v0.0.1
Source code(tar.gz)
Source code(zip)