TorchYolo v0.0.2

[kadirnar]

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

• The base config of the torchyolo library has been improved. by @kadirnar in The base config of the torchyolo library has been improved. #1
• Add the Yolov5 model. by @kadirnar in Add the Yolov5 model. #2
• Add show image by @kadirnar in Add show image #3
• Added automodel module. by @kadirnar in Added automodel module. #4
• Added yolov7,yolov6 and yolox models. by @kadirnar in Added yolov7,yolov6 and yolox models. #11
• The readme file has been updated. by @kadirnar in The readme file has been updated. #12
• Added pip support. by @kadirnar in Added pip support. #13
• Added script for package update. by @kadirnar in Added script for package update. #14
• Updated the Yollov6 visualization module. by @kadirnar in Updated the Yollov6 visualization module. #19
• Updated the Yolox visualization module. by @kadirnar in Updated the Yolox visualization module. #21

New Contributors

• @kadirnar made their first contribution in The base config of the torchyolo library has been improved. #1

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

What's Changed

• Added the Yolov8 model. by @kadirnar in Added the Yolov8 model. #31

Full Changelog: v0.0.1...v0.0.2

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This discussion was created from the release TorchYolo v0.0.2.