Torchyolo - Yolov3 ve Yolov4 modellerin Pytorch uygulamasıdır

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Deep Learningtorchyolo
Overview

TORCHYOLO : Yolo Modellerin Pytorch Uygulaması

teaser

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

    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 | APtest | AP50test | AP75test | 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) | mAPval
    50-95 | mAPval
    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 |mAPval
    0.5:0.95 |mAPtest
    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 |mAPval
    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)
Owner
Kadir Nar
Computer Vision Resarcher
Kadir Nar
GitHub Repository
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