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TorchYolo v1.2.2

30 Jan 10:11
@kadirnar kadirnar
v1.2.2
452888b
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Full Changelog: v1.1.2...v1.2.2

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TorchYolo v1.1.2

30 Jan 09:48
@kadirnar kadirnar
v1.1.2
4411353
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TorchYolo v1.1.2

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Full Changelog: v1.1.0...v1.1.2

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kadirnar
Assets 3
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TorchYolo v1.1.0

26 Jan 09:28
@kadirnar kadirnar
v1.1.0
293d4e5
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TorchYolo v1.1.0

Visualization bug fixed.
Full Changelog: v1.0.0...v1.1.0

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TorchYolo v1.0.0

22 Jan 06:28
@kadirnar kadirnar
v1.0.0
15316bf
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TorchYolo v1.0.0

What's Changed

  • Code architecture has been updated. by @kadirnar in #49
  • Added support for hf_model. by @kadirnar in #50
  • Added Yolov6 model.

Full Changelog: v0.0.5...v1.0.0

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kadirnar
Assets 3
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TorchYolo v0.0.5

20 Jan 16:42
@kadirnar kadirnar
v0.0.5
dd50cc1
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TorchYolo v0.0.5

What's Changed

Full Changelog: v0.0.4...v0.0.5

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kadirnar
Assets 8
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TorchYolo v0.0.4

19 Jan 13:12
@kadirnar kadirnar
v0.0.4
879f762
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TorchYolo v0.0.4

Added Tracking Algorithms:

  • Sort
  • StrongSort
  • ByteTrack
  • OcSort
  • Norfair

What's Changed

Full Changelog: v0.0.3...v0.0.4

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kadirnar
Assets 8
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TorchYolo v0.0.3

15 Jan 11:45
@kadirnar kadirnar
v0.0.3
cb48e40
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TorchYolo v0.0.3

Yolov8

Model size
(pixels)		 mAPval
50-95		 Speed
CPU
(ms)		 Speed
T4 GPU
(ms)		 params
(M)		 FLOPs
(B)
YOLOv8n 640 37.3 - - 3.2 8.7
YOLOv8s 640 44.9 - - 11.2 28.6
YOLOv8m 640 50.2 - - 25.9 78.9
YOLOv8l 640 52.9 - - 43.7 165.2
YOLOv8x 640 53.9 - - 68.2 257.8

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

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Contributors

640 and kadirnar
Assets 2
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TorchYolo v0.0.2

10 Jan 14:29
@kadirnar kadirnar
v0.0.2
1108e5b
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TorchYolo v0.0.2

Yolov8

Model size
(pixels)		 mAPval
50-95		 Speed
CPU
(ms)		 Speed
T4 GPU
(ms)		 params
(M)		 FLOPs
(B)
YOLOv8n 640 37.3 - - 3.2 8.7
YOLOv8s 640 44.9 - - 11.2 28.6
YOLOv8m 640 50.2 - - 25.9 78.9
YOLOv8l 640 52.9 - - 43.7 165.2
YOLOv8x 640 53.9 - - 68.2 257.8

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

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Contributors

640 and kadirnar
Assets 2
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TorchYolo v0.0.1

07 Jan 09:42
@kadirnar kadirnar
v0.0.1
33657bc
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TorchYolo v0.0.1

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

New Contributors

Full Changelog: https://github.com/kadirnar/torchyolo/commits/v0.0.1

Contributors

640 and kadirnar
Assets 2
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