pcd | pcd Processing Creative Demos | Computer Vision library

I would like to voxelise a .stl file and write it into an np.array. The resolution of the voxels should be adjustable. Here is my code for this:

I want to use both MFRC522 and RDM6300 readers on a single NodeMCU, the two separate codes for each readers are respectively :

I have an xyz point cloud (pcd) as a matrix of size (N, 3) and an image (img) as a matrix of size (H, W). I want the points where the image is projecting so I have the reunion of the following masks:

true_where_x_on_img = (0 < pcd[:, 0]) & ( pcd[:, 0] < img.shape[1])

true_where_y_on_img = (0 < pcd[:, 1]) & ( pcd[:, 1] < img.shape[0])

true_where_point_on_img = true_where_x_on_img & true_where_y_on_img

This mask is of size N and works as intended (using pcd[true_where_point_on_img]). Now I filter these values using another mask that tells me whether the pixels in the image are background or not:

true_where_not_background = mask[pcd[:, 1], pcd[:, 0]] != 0

true_where_not_background is of size M because mask is H x W. Finally, I want to project these results into column 4 of a bigger matrix, aug_pcd, of size N x 4. This matrix was initialized with zeros and pcd was copied into the first 3 columns of it. I now want to put the masked image (img[true_where_not_background]) into column 4. Something like aug_pcd[true_where_not_background, 3:] = img[true_where_not_background]. The problem is true_where_not_background has size M, and aug_pcd has row size N and is already a full-fledge slice. Slicing the slice would make a copy to which I would not be able to assign values to. How can I blend true_where_point_on_img and true_where_not_background so I can have a mask of size N?

I am new to open3D pythong binding.

I am trying to downsample a point clout and I have this code:

hi guys i'm new on Reactive Programming i just wanna know how implement and handle a new button using this code. Plz if you know the answer just write the correct code. So what i'm asking is to implement this code with a second button that can do whatever you want. i just have to see this code implemented with a second button.

I have a set of 3D data points that looks similar to sphere. I need these data points to be connected as a watertight mesh so that it can be used for simulation.

I have worked with Meshlab and obtained a reasonable mesh but not watertight.

After this, I have tried with Open3D python library by using ball pivot algorithm. From this, I am unable to obtain water tight mesh as expected. I tried to work with hole_fixer external library (Hole_fixer), but finding and error in installing using cmake.

I have inserted the code and also "xyz" datapoints used for open3D.

I'm fairly new to the Point Cloud world. In addition, I'm not so experienced in C++. I need to read .las files and process them using the pcl library. This is a sample file from the dataset that I need to read. I followed this youtube video. However, since the file I'm trying to read is of version 1.3, I followed the corresponding spec file to define the header fields and I used 'Data Record Format 3' which is the data record format mentioned in the file header.

This are my definitions for the header and data record format:

I was tinkering around with open3d and I got to the point where I found myself having a vector made from the index of each point I got from a radius search and it looks somewhat like this:

I have a depth frame from an Intel RealSense camera and I want to convert it to pointcloud and visualize the pointcloud. So far, as for creating the pointcloud given only the depth frame and camera intrinsics, I found the following two functions however I can't seem to find a way to visualize either one or store them as .ply file.

How should I visualize a pointcloud made this way?

method 1: