Comments (1)
It’s always easier to run them using a virtualenv.
The api doesn’t return an image. It returns box dimensions and text. The user is expected to draw their own image box using the meta data if needed.
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Related Issues (20)
- ModuleNotFoundError: No module named 'cv2.cv2' HOT 1
- Error executing remote API: Extra data: line 1 column 329 (char 328) HOT 8
- No timeout or no answer from coral Google TPU HOT 3
- Yolo v5 support HOT 1
- Support ML and stream sequences
- missing yolov3_classes.txt HOT 2
- remote ML requirements question HOT 6
- ValueError: malformed node or string: <_ast.Name object at 0x7f0e4cec2390> HOT 4
- show_percent=no not taken into account by mlapi HOT 6
- fix crappy ml_overrides approach from zm_detect to mlapi HOT 1
- platerecognizer chosen image quality HOT 2
- mlapi does not behave as ES does HOT 6
- mlapi crash on HOT 13
- RuntimeError: Internal: Unsupported data type in custom op handler HOT 2
- Unable to run mlapi as a service. Something to do with @jwt_required() HOT 4
- TypeError: 'float' object is not subscriptable HOT 2
- Issue with "Get an Access Token" HOT 6
- Error running model: invalid index to scalar variable. HOT 17
- ImportError: cannot import name 'soft_unicode' from 'markupsafe' HOT 1
- Dockerised version
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