openvino

How to permanently set the environment variables for OpenVino

亡梦爱人 提交于 2020-01-24 21:09:08
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

flags that used for compiling OpenCv part of OpenVino

末鹿安然 提交于 2019-12-11 16:46:13
问题 I used OpenCV that I compiled and also the OpenCV that comes as a part of Intel OpenVino. I found that the OpenCV as a part of OpenVino is faster by around 10%-20% and I am wondering what flags are used by Intel to compile OpenCV? I want to recompile it so that I can create a static library instead of world version of the library. 来源: https://stackoverflow.com/questions/53692675/flags-that-used-for-compiling-opencv-part-of-openvino

tensorflow openvino ssd-mobilnet coco custom dataset error input layer

寵の児 提交于 2019-12-11 14:27:49
问题 So, I'm using TensorFlow SSD-Mobilnet V1 coco dataset. That I have further trained on my own dataset but when I try to convert it to OpenVino IR to run it on Raspberry PI with Movidius Chip. I get an error ➜ utils sudo python3 summarize_graph.py --input_model ssd.pb WARNING: Logging before flag parsing goes to stderr. W0722 17:17:05.565755 4678620608 __init__.py:308] Limited tf.compat.v2.summary API due to missing TensorBoard installation. W0722 17:17:06.696880 4678620608 deprecation_wrapper

How to use OpenVINO pre-trained models?

可紊 提交于 2019-12-08 08:59:47
问题 I have installed OpenVINO recently but I don't know how I should give inputs and get the predict from OpenVINOs pre-trained models. there is two files with .bin and .xml suffixes, I've just worked with keras so I can't use this models in opencv. I find this code but it didn't work. import cv2 as cv net = cv.dnn.readNet('face-detection-adas-0001.bin', 'face-detection-adas-0001.xml') cap = cv.VideoCapture(0) while cv.waitKey(1) < 0: hasFrame, frame = cap.read() if not hasFrame: break blob = cv