YOLOv4-pytorch
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Issues while training.
I am using crowdhuman dataset to train the model from scratch. I generated text files as mentioned in readme file.
line in txt file [sample]
./crowdhumandata/Images/273275,e99d80007220d4b6.jpg 352,311,461,534,0 455,320,557,527,0 927,486,1065,712,0 824,501,938,696,0 754,423,870,583,0 741,454,840,614,0 883,587,1021,801,0 566,498,748,812,0 500,489,621,704,0
directory structure: yolov4-pytorch
- crowdhumandata
- Images(all jpg files)
- Annotations
- test_annotation.txt
- train_annotation.txt
Set paths correctly in yolov4_config.py DATA_PATH = "./crowdhumandata/Images" PROJECT_PATH = "./crowdhumandata/Annotations/" DETECTION_PATH = "../"
Got this error File "/home/yolov4/utils/datasets.py", line 207, in __creat_label label[i][yind, xind, iou_mask, 0:4] = bbox_xywh IndexError: index 38 is out of bounds for axis 1 with size 38
What might be the possible issue for this?
Check your bboxes. They should not come outside of the image
请问你的问题如何解决的
请问你的问题如何解决的
Some of your bbox comes out of the image. Clip the box and you are good to go.
@jingtianyilong Could you explain the process? I ve tried using custom anchors as you suggested and it doesn't work
thanks