As the inputted model is a compiled model which is for VPU, I cannot do any changes to this model. Therefore, I am trying to convert the type in runtime during the process of the output, however, I still cannot find a method to handle this. Could you share with me any function or...
exporterfromkeras.modelsimportmodel_from_configfromkeras.modelsimportSequential,Modelimporttensorflowastffromtensorflow.python.toolsimportfreeze_graphfromtensorflow.python.framework.convert_to_constantsimportconvert_variables_to_constants_v2importosprint(tf.__version__)print(cv2.__version__)#%% opencv处理适合...
(sess.graph, './', 'inference_graph.pb', as_text=False) Obtained a .pb inferenceGraph, my cmd line string is: sudo python3 mo_tf.py --input_model inference_openvino_graph.pb --model_name res_model_IR --output_dir ../my_ir_model/ --mean_values [x0x0x0,x1x1x1,x2x2x2] --...
This script converts the ONNX/OpenVINO IR model to Tensorflow's saved_model, tflite, h5, tfjs, tftrt(TensorRT), CoreML, EdgeTPU, ONNX and pb. PyTorch (NCHW) -> ONNX (NCHW) -> OpenVINO (NCHW) -> openvino2tensorflow -> Tensorflow/Keras (NHWC/NCHW) -> TFLit