openvino

问题 I am trying to convert a trained model in tensorflow to Open VINO Intermediate Representation. I have a model of the form given below class Conv3DModel(tf.keras.Model): def __init__(self): super(Conv3DModel, self).__init__() # Convolutions self.conv1 = tf.compat.v2.keras.layers.Conv3D(32, (3, 3, 3), activation='relu', name="conv1", data_format='channels_last') self.pool1 = tf.keras.layers.MaxPool3D(pool_size=(2, 2, 2), data_format='channels_last') self.conv2 = tf.compat.v2.keras.layers.Conv3D

问题 I installed OpenVINO and want to run the following code on windows 10. import numpy as np import cv2 import sys from get_face_id import face_id_getter from check import check from win10toast import ToastNotifier FP = 32 targetId = 0 toaster = None if '-use_notifications' in sys.argv: toaster = ToastNotifier() if len(sys.argv) > 1 and '-m' in sys.argv: FP = 16 targetId = cv2.dnn.DNN_TARGET_MYRIAD cap = cv2.VideoCapture(0) getter = None if '-get_face_id' in sys.argv: getter = face_id_getter()

问题 I want to use openvino-opencv for my Qt ( Qt5.7.1 ) based project. I have downloaded and installed openvino411 (corresponding to opencv411) following the instructions here in windows10 https://docs.openvinotoolkit.org/latest/_docs_install_guides_installing_openvino_windows.html#Configure_MO. I write a .pri file to demploy the opencv in Qt: INCLUDEPATH += C:/openvino-411/openvino_2019.2.275/opencv/include CONFIG(release, debug|release):{ LIBS += -LC:/openvino-411/openvino_2019.2.275/opencv/lib

问题 I want to use openvino-opencv for my Qt ( Qt5.7.1 ) based project. I have downloaded and installed openvino411 (corresponding to opencv411) following the instructions here in windows10 https://docs.openvinotoolkit.org/latest/_docs_install_guides_installing_openvino_windows.html#Configure_MO. I write a .pri file to demploy the opencv in Qt: INCLUDEPATH += C:/openvino-411/openvino_2019.2.275/opencv/include CONFIG(release, debug|release):{ LIBS += -LC:/openvino-411/openvino_2019.2.275/opencv/lib

来源： https://stackoverflow.com/questions/59810911/openvino-how-to-add-support-to-fusedbatchnormv3-in-model-optimizer

来源： https://stackoverflow.com/questions/59810911/openvino-how-to-add-support-to-fusedbatchnormv3-in-model-optimizer

来源： https://stackoverflow.com/questions/59810911/openvino-how-to-add-support-to-fusedbatchnormv3-in-model-optimizer

问题 I ask the question because I wanted to solve the error I experienced. I want to use 'SSD lite Mobilenet V2' in Raspberry Pi 3 B+ and NCS(not 2, it is NCS1). So I installed OpenVINO 2019_R3 on my Pi(Raspbian stretch) and Laptop(Linux, not all programs, just Model optimizer). When I optimize SSD lite mobilenet v2(trained zoo model), it was fine. So, i trained my model in Google Colab using Tensorflow object detection api. But when I optimize my own SSD lite model, here is log and what I typed

问题 I ask the question because I wanted to solve the error I experienced. I want to use 'SSD lite Mobilenet V2' in Raspberry Pi 3 B+ and NCS(not 2, it is NCS1). So I installed OpenVINO 2019_R3 on my Pi(Raspbian stretch) and Laptop(Linux, not all programs, just Model optimizer). When I optimize SSD lite mobilenet v2(trained zoo model), it was fine. So, i trained my model in Google Colab using Tensorflow object detection api. But when I optimize my own SSD lite model, here is log and what I typed

问题 I am setting up OpenVino on my system and I get this form the documentation: (Optional): OpenVINO toolkit environment variables are removed when you close the Command Prompt window. As an option, you can permanently set the environment variables manually. But there is no information is available on what are the required environment variables and what value they should be set. I need to know the list of environmental variable needed by OpenVino and the value that they should be set to. I know