Comments (4)
lu229
commented on July 22, 2024
@XinCode Sorry, we haven't supported the model conversion tool for darknet. For the supported modles. there is no others to configure apart from the yml file.
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XinCode
commented on July 22, 2024
@lu229 thanks for your quick reply, I have converted yolov3 model to mace format. Next will be the detection test on android. I just realize that most android tutorials are about image classification using mobilenet, could you point where I can refer to an object detection example?
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lu229
commented on July 22, 2024
@XinCode You can reference the example in MACE, the project'path: mace/examples/android
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gaopeipeiok
commented on July 22, 2024
Did you complete yolo3 model on android。I have got the output datas，But I did not decode the datas，I am learning the yolo_layer.c. Maybe we could exchange experience .
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Related Issues (20)
- detection_output.cc is missing HOT 2
- sre_16, Exception: Unexpected fc input ndim. HOT 1
- configure output for yolov3 model HOT 1
- Support object detection models HOT 2
- how to set input data, after kaldi convert to onnx model, HOT 1
- YOLOV3模型裁剪三个输出 HOT 1
- yolo v3的fps HOT 1
- How to make model: caffe ssd-mobilenet-v1 support hexagon dsp . HOT 1
- Is there any description on how the input for each model should be preprocessed? HOT 1
- Please provide training scripts (or at least more details) for realtime-style-transfer model. HOT 1
- run on PC HOT 5
- .yml中只有input和output的placeholder？ HOT 6
- fast-style-transfer模型的计算用时 HOT 5
- Nnet3 with input & i-vector
- Is there any plan to add EfficientDet into this repo? HOT 1
- how to add multi-inputs? or how to test the benchmark on multi inputs? HOT 4
- changing the input size of yolov3 HOT 3
- Support for tf.keras models(models from micro-models) HOT 1
- MobileAI Compute
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