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Jan 28, 2020 · Thanks for reaching out. I haven't tried the link you have shared, but it looks like they were trying to use tiny-yolov2 on an older release of OpenVINO. Tiny-yolov3 should work on OpenVINO R3, there is a sample app available on the NCAPPZOO for the NCS here. I'd strongly suggest to take a look at that repo for good reference.

Jun 16, 2020 · Thank you for the files provided. It seems that this yolov3 model looks different to the supported implementation of yolov3. Also, you are missing the --input_shape parameter, try using the following command and tell us if the issue persists: python3 mo_tf.py --input_model yolo_v3.pb --input_shape [1,416,416,3] Regards, David

Sep 22, 2022 · Hi Mauricio, Thank you for reaching out to us. OpenVINO™ Toolkit does provide various example codes and demo applications that supports Intel pre-trained models or public pre-trained models which are available from Open Model Zoo Demos.

Mar 22, 2019 · Hi, I want to convert my YOLO v3 tiny model trained with Darknet into the OpenVINO format (.bin, .xml). First, I converted the model to the

Jul 23, 2019 · i have Yolov3-tiny implementation in Tensorflow 2.0. For exporting model to .pb format i used this function: tf.keras.experimental.export_saved_model() then i freezed graph with freeze_graph.py script. I tried freeze graph with various versions of TF. Freeze worked for TF >= 1.13.0, so for 1.12 which is recomended version for OpenVINO i got error:

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 repository to train yolo, models worked well (about 60-70mAP) but I could not covert (both v3-tiny and v4-tiny) I tried to convert following OpenVINO tutorial on Yolo using TensorFlow 1.12.1 since:

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.