I’ve trained my CNN model with python/OpenCV using Tensorflow and I used it to test images successfully. I’m trying now to test my program with an external IP camera. I think I can do that using the camera’s IP address, but I don’t know how to modify that in my code. Any help would be ..
I am trying to train a neural network which takes as input an initial hidden state (call it s_t0) at time 0 and returns an transformation of s_t0 as s_t1. The goal of optimization is to ensure the distance between s_t0 and s_t1 is small, as s_t1 is supposed to be an updated version of ..
I am trying to make YOLO architecture with an input of gray scaled image. In general, input of YOLO is RGB image (3-dim tensor), whose size is (N, N, 3), where N is size of an image and 3 represents R,G and B channel. When reading an image with pillow, the code below gives me ..
everyone! I have some photo like below. It has some spray paint on it, and I want to remove that part on the image. Anyone has experience on this kind of questions? Please help me, THX!! Here is the image Source: Python..
I’ve created a code to detect fire in video using OpenCV and the technique is using the HSV color space to detect the color and flag an alarm but the problem is when the alarm starts the video window stop or it doesn’t show from the beginning of the program. Can someone please help? The ..
I am trying to make some Visual Odometry projects with ROS + Gazebo, with KLT algorithm from OpenCV. My code is not working so well. It worked fine using a video file as source, as in this tutorial, but when I try using ROS topics/images as input, is does not go well. Even I can ..
The title is as strange as my problem, but I will try my best to make my problem clear and concise! I have a list of ‘tracks’ which are simply lists of x-y coordinates in 2D space. I want to compare each track to one another to see if any are 8-connected with any others, ..
I am doing face classification and tracking on video that will always have the same number of people present in each frame. Is there anyway I can specify this number of desired predicted faces as a parameter to increase my face finding accuracy? I know I can use minNeighbors and minSize to improve false positives ..
I have many x-ray scans and need to crop the scanned object from its background noise. The files are in .png format and I am planning to use OpenCV Python for this task. I have seen some works with FindContours() but unsure that thresholding will work for this case. Before Image: After/Cropped Image: Any suggested ..
I am trying to create 2D images (801*801) for the propagation of a wave at different time steps(4000 time step) I have a 3D array which has the shape of (4000,801,801). can anyone give me a lead how to start dealing with the structure? Source: Python-3x..