cv2

问题 I'm using CL-SOM-AM57x - TI AM5728 / AM5718 System-on-Module and load it with Ti's matrix app launcher based on Linux Debian. I am trying to develop a python app which can be launched from TI Matrix GUI. With simple python code the app works fine in Terminal(loads and import openCV and numpy) but when I launch and run the App(have created Icon and the app is executing) from TI matrix GUI which doesn't work properly and shows some errors/warnings in terminal. The App is opening and Prints on

问题 I am working with Inception v3, trying to use MNIST JPG images as the dataset to predict. I am running into a problem when its time to input training batches into the model. The error is because of the shape. X_batch produces a shape of (?,299,299), where as the first layer needs a shape of (?, 299, 299, 3). In a different part of my code that displaces a few examples I was able to use example_image = cv2.cvtColor(example_image,cv2.COLOR_GRAY2RGB) to convert the examples into RGB which gave

问题 I get this Error: InternalError (see above for traceback): Blas GEMM launch failed : a.shape=(1, 2304), b.shape=(2304, 512), m=1, n=512, k=2304 [[Node: dense_1/MatMul = MatMul[T=DT_FLOAT, transpose_a=false, transpose_b=false, _device="/job:localhost/replica:0/task:0/gpu:0"](flatten_1/Reshape, dense_1/kernel/read)]] This is my code. I try to load a keras model. and predict the class of an image. But it always crashes when I want to predict the class of the image. from __future__ import print

问题 Observe the following image: Observe the following Python code: import cv2 img = cv2.imread("rainbow.png", cv2.IMREAD_COLOR) img = cv2.cvtColor(img, cv2.COLOR_BGR2HSV) # convert it to hsv img = cv2.cvtColor(img, cv2.COLOR_HSV2BGR) # convert back to BGR cv2.imwrite("out.png", img) Here's the output image: If you can't see it, there's a clear loss of visual fidelity in the image here. For comparison's sake, here's the original next to the output image zoomed in around the yellows: What's going

问题 For my next university-project i will have to teach a Convoluted Neural Network how to denoise a picture of a face so i started digging the we for datasets of faces. I stumbled upon this dataset (CelebA) with 200k+ pictures of people and i found the first few problems: there are too many pictures to do basic computation on them. I should: Open each image and make a numpy array out of it (dlib.load_rgb_image is fine) Find a face it, use the 5 point shape predictor to find the eyes and align

问题 I have this image rand-walk-2.png I would like to convert all the white pixels to black pixels, so that there is a picture of a red random walk over a black background, this means I cannot just invert the colors of image. My current code simply finds the white pixels and set them to black: from PIL import Image import PIL.ImageOps import numpy as np from skimage.io import imsave import cv2 in_path = 'rand-walk-2.png' out_path = 'rand-walk-trial.png' Image = cv2.imread(in_path) Image2 = np

问题 I have a set of images that represent letters extracted from an image of a word. In some images there are remains of the adjacent letters and I want to eliminate them but I do not know how. Some samples I'm working with openCV and I've tried two ways and none works. With findContours: def is_contour_bad(c): return len(c) < 50 gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY) edged = cv2.Canny(gray, 50, 100) contours = cv2.findContours(edged.copy(), cv2.RETR_LIST, cv2.CHAIN_APPROX_SIMPLE)

问题 Hello I am trying to create a facial recognition program but I have a peculiar error: here is my code: gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY) face_cascade = cv2.CascadeClassifier("lbpcascade_frontalface.xml") faces = face_cascade.detectMultiScale(gray, scaleFactor=1.2, minNeighbors=5); and this error is the output SystemError: <class 'cv2.CascadeClassifier'> returned a result with an error set I have "lbpcascade_frontalface.xml" in the working directory so that shouldn't be an issue if

问题 total nexwbie here. I'm unsuccessfully trying to install the cv2 module for python but it doesn't work. I'm working with Python 3.6 (64bits) I typed the following commands in the cmd : C:\Users\leahj>C:\Users\leahj\AppData\Local\Programs\Python\Python36\Scripts\pip3 install cv2 Collecting cv2 Could not find a version that satisfies the requirement cv2 (from versions: ) No matching distribution found for cv2 C:\Users\leahj>C:\Users\leahj\AppData\Local\Programs\Python\Python36\Scripts\pip3

问题 I downloaded a test image from Wikipedia (the tree seen below) to compare Pillow and OpenCV (using cv2 ) in python. Perceptually the two images appear the same, but their respective md5 hashes don't match; and if I subtract the two images the result is not even close to solid black (the image shown below the original). The original image is a JPEG. If I convert it to a PNG first, the hashes match. The last image shows the frequency distribution of how the pixel value differences. As Catree