Not able to run benchmark.py with pretrained model
I'm trying to run benchmark with pretrained model YOLOv4-Mish-416 from this page: https://github.com/AlexeyAB/darknet/wiki/YOLOv4-model-zoo
After run: python benchmarks.py --size 416 --model yolov4 --weights ./data/yolov4-mish-416.weights
I got error:
Traceback (most recent call last):
File "benchmarks.py", line 132, in <module>
app.run(main)
File "/home/hc/repo/python_yolo/lib/python3.6/site-packages/absl/app.py", line 303, in run
_run_main(main, args)
File "/home/hc/repo/python_yolo/lib/python3.6/site-packages/absl/app.py", line 251, in _run_main
sys.exit(main(argv))
File "benchmarks.py", line 65, in main
bbox_tensor = decode(fm, NUM_CLASS, i)
TypeError: decode() missing 3 required positional arguments: 'STRIDES', 'ANCHORS', and 'i'
same error
Same error as well.
In the code there is only few parameters for the decode function.
If you look at the function decode(), it calls another function : decode_tf().
You can see at the line 27 and 29 of benchmark.py that the variables STRIDES and ANCHORS are defined.
Therefor, they are not used in the function. If you add them at line 65, there is always a missing argument, i.
Because the constructor of the YOLOv4 class return this : return [conv_sbbox, conv_mbbox, conv_lbbox] and there is an enumerate(feature_map) in the loop, we need to find out how to include output_size.
For now, my new line 65 is : bbox_tensor = decode(fm, NUM_CLASS, STRIDES, ANCHORS, i)
any solutions for this Error ?
I fixed it using:
decode(fm, cfg.TRAIN.INPUT_SIZE // 16, NUM_CLASS, STRIDES, ANCHORS, i)
instead of
decode(fm, NUM_CLASS, i)
Thank you.
On Thu, Jan 20, 2022 at 6:11 PM Emmanuel-Messulam @.***> wrote:
I fixed it using: decode(fm, cfg.TRAIN.INPUT_SIZE // 16, NUM_CLASS, STRIDES, ANCHORS, i) instead of decode(fm, NUM_CLASS, i)
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