multispectral-object-detection
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Input shape of LLVIP YOLOV5L
Thanks for your contribution！ Could you please tell me the input shape for training LLVIP YOLOV5L, which achieves 97.5 [email protected] 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 !