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why accuracy drops after converting with convert.py
See original GitHub issuepython3 convert.py yolo_tiny.cfg final.weights output.h5
I run this command and weights converted successfully but when I call predict it gives the wrong object with 99% accuracy while it was giving true obj with darknet weights file.
with darknet weights:
with conveted keras model:
thanks in advance.
Issue Analytics
- State:
- Created 4 years ago
- Comments:5
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@kidboy-man hi, i do not remember, but i think u can search for files that match the string max_boxes = 20
fixed by increasing max_boxes = 20 to 100