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I have been trying to fine-tune the tiny-yolo model to my dataset following these steps:
1. Freeze all weights except the last convolutional layer (that acts as a classifier + bounding box regressor)…
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### Search before asking
- [X] I have searched the HUB [issues](https://github.com/ultralytics/hub/issues) and found no similar feature requests.
### Description
i want to track an object of the c…
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Hi,
Thanks for providing such helpful project.
I have images of 2 class i extracted the images of the objects, then i created the XML annotations
the images are 68*68 and the object is around 2/3 o…
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Good evening,
I have been trying using the converted model today for object detection with deepsort, without result. Before that, I tried testing it as underlined by you, using the inference command…
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Hello! I'm a college student. Now I want to use the project to recognize the target of real-time video which return to the computer from drone.
The drone which I used is Parrot bebop 2, it link the …
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@AlexeyAB I have seen gru.cfg and rnn.cfg in cfg folder If I use this file instead of v3 will it give higher accuracy. And If I want to add more layers in v3 is it possible? And how it differ from…
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I encountered an error when I used the Yolo detector.
OpenCV(4.0.0) Error: Parsing error (Failed to parse NetParameter file: ../data/tiny-yolo.cfg) in cv::dnn::dnn4_v20180917::readNetFromDarknet, fil…
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A transformed yolo model does Object Detection on RKNN, there is no reason we can't just support running this same model without the help of the NPU on other platforms, albeit, at worse performance. I…
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Scenario: car parks on driveway most of the time. With tree shadow, cloud, snow, rain, ...triggering the camera, it's easy to get the car detected and alerted over and over.
While `car_past_det_max…