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Not detecting objects when I run …
Jan 28, 2020 · But I cannot find the object_detection_demo_yolov3_async.py, I am using Ubuntu 16.04, however there is directly an application file which is run when I use the command ./object_detection_demo_yolov3_async -with arguments.
Converting Keras-built Yolov3 model (.h5) to IR for inference …
Jun 16, 2020 · Hello. I have trained my Yolov3 model for object detection using Keras (with tensorflow backend). The trained model is saved using (model.save()) to an h5 file. I can correctly load the model and detect objects. Now, I would like to use this model on my RaspberryPi+Intel Movidius Neural Compute Stic...
Solved: Yolov3 example code - Intel Community
Sep 22, 2022 · Solved: Hi. I have trying to use a yolov3 model with OpenVINO 2021.4.1. Is there an example code that uses a yolov3 model? Because from my
About Multiple Neural Compute Stick and HDDL Plugin with Yolov3
Dec 23, 2019 · Hi, I have a couple of questions about correct way to use sticks and the HDDL devices. I am using Qt and Openvino R3.1. Yolov3 example running on one stick without ...
Converting YOLO v3 tiny to OpenVINO - Intel Community
Mar 22, 2019 · Thank you for your reply. Unfortunally, object_detection_demo_yolov3_async also returns not reasonable results. However, in the last layer representing the detected bounding boxes, values between 0 and 1 are expected, representing the bounding box coordinates, the confidence and the class id. But the IR model also produces many negative values, values greater than 1 and NaNs. Did you try to ...
OpenVINO custom Yolov3-tiny / Yolov4-tiny Inference
Sep 22, 2022 · I've been trying to inference yolov3-tiny model in OpenVINO format, but I've ran into some problems: - first I tried with AlexeyAB darknet repository
Could not find a package configuration file provided by TBB
Sep 25, 2020 · Enabled MULTICHANNEL_DEMO_USE_TBB in CMake file to use the TBB library .
Faster Inferencing on Intel® Hardware with Just One Extra Line …
May 28, 2021 · The C# sample uses a public Yolov3 Deep Learning ONNX Model from the ONNX Model Zoo. The sample involves presenting an image to the ONNX Runtime (RT), which uses OpenVINO Execution Provider for ONNX RT to run inference on Intel® NCS2 stick (MYRIADX device) by performing object detection on the input image.
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