After resizing, the channel of the binary image is not showing for this reason I had to use np.expand_dims method. Any solution to how I can overcome this situation, Thanks. img = cv2.resize(img,(256, 256)) img = model.predict(np.expand_dims(img , axis=0))[0] If I print the shape here it shows (256,256,1) But I need to resize it for ..
Category : opencv
while running my code using cv2 i got this error: converted_image = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY) #The function converts an input image from one color space to another cv2.error: OpenCV(4.5.3) C:UsersrunneradminAppDataLocalTemppip-req-build-c2l3r8zmopencvmodulesimgprocsrccolor.cpp:182: error: (-215:Assertion failed) !_src.empty() in function ‘cv::cvtColor’ Source: Python..
I try to align measuring images according to the contour of the parts. Unfortunately, the surrounding particles are often considered too aligned and I get wrong results. Here is the basic openCV code iam using. Maybe i have to filter the particels somehow and use the wrap matrix on the original image afterwards. im1 = ..
I have to work on task of using hand keypoints as pointer (or touchless mouse). The main problem here is that the (deep learning) hand keypoints are not perfect (sometime under varied of light, skin colors), therefore the chosen key point are scattering, not smoothly moving like the real mouse we use. How can I ..
I am preparing a lane detection dataset which I will be training on my UNET architecture. I have downloaded the dataset from here. Each dictionary in ground_truth_labels.txt have the structure: { "lanes": [ [-2, -2, -2, -2, 632, 625, 617, 609, 601, 594, 586, 578, 570, 563, 555, 547, 539, 532, 524, 516, 508, 501, ..
Im doing a PPE detection module and currently the program able to detect workers safety wears such as hat and vest. What i’m trying to do is setting up a restricted area with hard-coded rectangle, and whenever the program detected a worker coordinate intersect the restricted hard-coded rectangle it will prompt Human Detected in Restricted ..
Im doing a PPE detection module and currently the program able to detect workers safety wears such as hat and vest. What i’m trying to do is setting up a restricted area with hard-coded rectangle, and whenever the program detected a worker coordinate intersect the restricted hard-coded rectangle it will prompt Human Detected in Restricted ..
I was using mmdetection but while installing the "setup.py" file this error appears File "setup.py", line 98 sources=[os.path.join(*module.split(‘.’), p) for p in sources], SyntaxError: only named arguments may follow *expression link from where I have cloned the repo : https://github.com/open-mmlab/mmdetection.git Please let me know the solution Source: Python-3x..
Initially this was a .npy file , i converted the .npy file to a .png file , saved it to a folder as a gray scale image , i’m trying to read the image , but cv.imread still wants me to read the image as a gray scale image ,hence i suffixed 0 while reading ..
I tried matching an image in another image with matchTemplate in OpenCV, but so far it hasn’t worked. Here are the 2 images that I am matching, and a third that proves that it doesn’t work: Matching image 1 Matching image 2 Image that doesn’t match Here is my code: import cv2 import numpy as ..
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