Closed xsingit closed 6 years ago
I am sorry that it bothers you. Actually, after the modification of the previous script working on python 3 + pytorch 0.3, I didn’t verify the validation. I will check and modify the script as soon as possible.
One more thing, did you trained the model with yolov2? yolo-voc.cfg is config file for yolov2 model. And 000002.weights may be too small iterated training weights file by guessing the epoch number based on filename. Anyway, I will check the scripts/voceval.py. ^^
Thank you very much for your reply. I trained the model with yolov3 and i'm so sorry that I used the configuration file incorrectly. When I do the following command:
python train.py -d cfg/voc.data -c cfg/yolo_v3.cfg -w yolov3.weights -r python valid.py cfg/voc.data cfg/yolo_v3.cfg backup/000020.weights python scripts/voc_eval.py results/comp4_dettest
No error occurred and working great. Sorry for the inconvenience. Thanks.
Good. You're welcome.
Hello, thanks for the script. The train.py code are working great. However, when I do the following command to evaluate model in VOC: python valid.py cfg/voc.data cfg/yolo-voc.cfg backup/000002.weights python scripts/voc_eval.py results/comp4_dettest I got a error: Traceback (most recent call last): File "scripts/voc_eval.py", line 265, in
_do_python_eval(res_prefix, output_dir = 'output')
File "scripts/voc_eval.py", line 241, in _do_python_eval
use_07_metric=use_07_metric)
File "scripts/voc_eval.py", line 149, in voc_eval
BB = BB[sorted_ind, :]
IndexError: too many indices for array
"save_interval" is set to 2, and 000002.weights is a trained model weight file.
I find all generated comp4_dettest* file sizes in the /results directory are 0 Bytes.
By looking at the valid.py and utils.py files and printing the results of the variables, I guess that because the conf values are all less than the conf_thresh, the following code has not been executed,,
if conf > conf_thresh:(line 174, in utils.py)
bcx = xs[ind]
bcy = ys[ind]
bw = ws[ind]
bh = hs[ind]
...
I want to know what went wrong and what should i do...
Any suggestion will be appreciated! Thanks.