Input shape of LLVIP YOLOV5L
XiongZhongxia opened this issue · 3 comments
Thanks for your contribution！ Could you please tell me the input shape for training LLVIP YOLOV5L, which achieves 97.5 mAP@0.5 and 5.40 MR？
The same question confuses me. I look forward to getting an answer.
The author provides a pre-trained checkpoint named "yolov5l_transformerx3_llvip_s1024_bs32_e200". As this reply mentioned, the author uses 1024 x 1024 image shape to train yolov5l on llvip dataset.
But the image shape in this figure shows the image shape is 640 x 640 x 3. Another clue shows that the image shape is 640 x 640 x 3.
It is obviously important to use the same image shape for an fair comparison, thus i look forward to know this point.
The same question confuses me. I look forward to getting an answer.
The author provides a pre-trained checkpoint named "yolov5l_transformerx3_llvip_s1024_bs32_e200". As this reply mentioned, the author uses 1024 x 1024 image shape to train yolov5l on llvip dataset.
But the image shape in this figure shows the image shape is 640 x 640 x 3. Another clue shows that the image shape is 640 x 640 x 3.
It is obviously important to use the same image shape for an fair comparison, thus i look forward to know this point.
I can answer my question now!
When training YOLOV5l on LLVIP, the image shape is 1024 x 1024 x 3.
Please refer to this reply.
The same question confuses me. I look forward to getting an answer.
The author provides a pre-trained checkpoint named "yolov5l_transformerx3_llvip_s1024_bs32_e200". As this reply mentioned, the author uses 1024 x 1024 image shape to train yolov5l on llvip dataset.
But the image shape in this figure shows the image shape is 640 x 640 x 3. Another clue shows that the image shape is 640 x 640 x 3.
It is obviously important to use the same image shape for an fair comparison, thus i look forward to know this point.I can answer my question now! When training YOLOV5l on LLVIP, the image shape is 1024 x 1024 x 3. Please refer to this reply.
Thanks a lot !