Closed koutilya-pnvr closed 4 years ago
It actually exited with an error:
0 (3, 3000, 4000) row 0/1: 0 Traceback (most recent call last):
File "detect.py", line 273, in
How should I properly test a 3000x4000 aerial image? Any help appreciated!
Be advised that the https://github.com/ultralytics/xview-yolov3 repository is not under active development anymore. We recommend you use https://github.com/ultralytics/yolov3 instead, our main YOLOv3 repository.
@koutilya40192 Did you solve the error? I'm facing the same issue.
@fadishaar84 no i didn't.
@fadishaar84 @koutilya40192 Did you update lines 27 and 51 with "True" and "cuda:0". Probably parsing and doing inference with cpu on such big images takes too much time.
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I am trying to test this repo on an aerial image with 3000x4000 resolution. It seems to me that the detect.py is taking forever to output the corresponding output image. I am using the following command: python detect.py -image_folder data/samples/ -output_folder output_myimg/ -img_size 4000 -conf_thres=0.6
Python 3.7 pytorch 1.0.1 cudatoolkit 8.0
Any idea whats going wrong?