Comments (1)
Hi, example_1 and example_2 only support single-object detection. If you want to modify these two examples, you need to look at papers like YOLO, SSD etc.
Alternatively, use example_3 it supports multiple objects. You only have to modify the grouping function in test.py. YOLO is basically like example_3, except that it uses regression and some other fancy stuff (stronger architecture, anchor boxes etc.).
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Related Issues (20)
- Empty train.csv and validation.csv files HOT 8
- confusion in iou calculation HOT 2
- Program getting terminated after a particular error HOT 1
- TypeError: unsupported operand type(s) for -: 'tuple' and 'int' HOT 1
- Unable to open file (unable to open file: name = 'model-0.29.h5', errno = 2, error message = 'No such file or directory', flags = 0, o_flags = 0) HOT 2
- IndexError: index 7 is out of bounds for axis 1 with size 7
- What if no ground truth available?
- Infer trained model on OpenVino
- FileNotFoundError: [Errno 2] No such file or directory: 'train.csv' HOT 1
- Model?
- How to get the picture class_name? HOT 3
- Dataset problem
- loss start too high
- What does STD and MEAN do? HOT 1
- Error message from evaluate_performance.py HOT 2
- Issue found from all the commits. Might be my tensorflow version issue? HOT 3
- train_model.py HOT 5
- Question: do not see images with bounding boxes as the output files. HOT 1
- some images are corrupted HOT 1
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