Comments (4)
Hi @BiponDas2 ,
The problem was that your detection files ended with an extra space (' ').
Update the code. I have removed all leading and trailing whitespaces and now it should work.
Let me know if it works for your formats now :)
Best regards
from review_object_detection_metrics.
Hi @rafaelpadilla Sir,
Much appreciated for your kind reply. I will let you know if it works.
Best regards.
from review_object_detection_metrics.
Hi @BiponDas2,
Note that your file does not follow the format
<class_id> <confidence> <x_center> <y_center> <width> <height> (RELATIVE)
Your format might be:
<class_name> <confidence> <x_center> <y_center> <width> <height> (RELATIVE)
from review_object_detection_metrics.
Hi @rafaelpadilla Sir,
I tried every possible way as per your instruction yet I don't know why It can't detect for (classes)* for the detection section again and again.
Sir, Can you please check my Dataset folder?
dataset.zip
It was a line detection dataset where I have the ground-truth label of Yolo(.txt) and the Detection label of yolov5.
I have selected the format in UI according to our detection file. I have designed the file and then select the format accordingly. Despite it failed anyways. Each time the error is popping up such that no file in the path according to the selected format. So it would be great if you could apply it to your code with our dataset and let us know the issue or error. It has a single class name 'line'.
It can read the ground-truth files quite well!
But when it's for the detection section all of a sudden it gives me an error for (classes)*
from review_object_detection_metrics.
Related Issues (20)
- Equation (9) and (11) in publication HOT 3
- how to use commond line ? HOT 1
- Do you have the detection results of different detection models in coco json format. HOT 1
- could't open detected the annotation file made by yolov4 darknet HOT 2
- How to calculate the general Precision x recall curve of the detection model? HOT 1
- Coordinates format has repeated option HOT 4
- Can you share commands on how to run the coco and PascalVOC evaluators via terminal to generate the outputs? HOT 3
- No results HOT 4
- Feature request: Docker containerization HOT 3
- move(self, int, int): argument 1 has unexpected type 'float' HOT 5
- ModuleNotFoundError: No module named 'src' HOT 4
- Bug in the converter.py while looking for images folder ? HOT 1
- AttributeError: 'list' object has no attribute 'items' HOT 1
- Please provide command line to evaluate on terminal HOT 1
- Issue during start: TypeError: arguments did not match any overloaded call HOT 3
- np.bool is deprecated HOT 5
- numpy: set_window_title moved to manager HOT 3
- Building the conda environment causes an endless loop HOT 2
- Result is 0 HOT 3
- Getting precision, recall, F1 values HOT 2
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