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Perhaps my cfg and weights have some bugs? However, I already tested it using Darknet and was able to predict my classes.
I desperately need this conversion so that it can be run on Raspberry Pi for real-time object detection. I could provide my custom YOLOv3 files for you if the files are fine. Perhaps I am missing something?
I highly appreciate any help or clarification.
The text was updated successfully, but these errors were encountered:
First of all, I would like to apologize if this post is related to the previous problem. However, I am still stuck in fixing the following errors:
I typed the command:
!python darknet2caffe.py yolov3_testing.cfg yolov3_training_final.weights yolov3.prototxt yolov3.caffemodel
The following link shows the error message:
https://drive.google.com/file/d/1lXmA2HfnQSIBoLlrOXtIkwCb1xq8fxwA/view
I have modified the darknet2caffe.py file. I changed the has_key() function to the contain() function . It can be reviewed here:
https://drive.google.com/file/d/1joxRt-vnKV3HY0CfDOmoxMrCxOC82Jl2/view?usp=sharing
I used python 2.7, caffe and pytorch (1.7) > 0.4, or 3.6.
the Makefile example file:
https://drive.google.com/file/d/1bBlv_2V3RZ45EEG-TwzuJz072bGu8FUf/view?usp=sharing
How to solve this issue?
Perhaps my cfg and weights have some bugs? However, I already tested it using Darknet and was able to predict my classes.
I desperately need this conversion so that it can be run on Raspberry Pi for real-time object detection. I could provide my custom YOLOv3 files for you if the files are fine. Perhaps I am missing something?
I highly appreciate any help or clarification.
The text was updated successfully, but these errors were encountered: