mr7495 / sperm_detection_and_tracking Goto Github PK

hi,
I found that the structure of the model I trained with the script is different from the structure of the model you share.

I used this line of code to train: python3 keras_retinanet/bin/train.py --epoch=1 --step=500 --batch-size=5 --random-transform csv 'annotation_sample.csv' 'classes.csv'

I think it is sourcing from RetinaNet-testing-on-video(For counting).ipynb file because it is renaming different from sample_annotations.csv
Traceback (most recent call last):
File "/content/Sperm_detection_and_tracking/modified_csr-dcf.py", line 1001, in
output = main()
File "/content/Sperm_detection_and_tracking/modified_csr-dcf.py", line 977, in main
anno=get_anno()
File "/content/Sperm_detection_and_tracking/modified_csr-dcf.py", line 23, in get_anno
if z is not None and int(row[0][-6:-4])<int(z[0][-6:-4]):
ValueError: invalid literal for int() with base 10: '/0'
My videos has 25 fps so i didn't change anything on csr-dcy.
But when i set up it to same rename it gives error again
Please help for work this code again.

Hello author, I corrected the format of the detections file according to the format of the annotation_sample file, but the result is still as follows:
0.00395512580871582
Correct Tracks: 0
Wrong Tracks: 0
Missed Tracks: 0
Tracks Numbers: 0
Can you help me find out what is the reason? thank you very much.
Below is a partial screenshot of the file I changed：

Hi,
I will use this repo for research,
But I need also tracking,
You published this https://github.com/mr7495/Sperm_detection_and_tracking/blob/master/modified_csr-dcf.py
But how I create a csv file for this csr-dcf.py file.
I need immediately help for tracking.
Please publish for me sperm tracking feature.
Have a nice day,
Regards