You need to compute the area(s) per frame first, like with regionprops(). Then, in the loop, if there is just one blob, index it like you did for the centroids
Maybe the simplest is to compute a centroid of the images' embeddings and then search using that one centroid vector. Or maybe there's a way using a SQL query to combine multiple vectors and let sqlite-vec figure it out. Thanks for any thoughts!
In Nexus the Generate Gait Cycle Parameters Pipeline Operation can be used in conjunction with the Gait events to calculate standard Gait Cycle Spatial
The learning rate increased linearly from 0 to 0.2 over the first ten epochs, then decreased by factors of two every ten epochs after the 400th epoch. The model used to compute style vectors in Fig. 2a was trained with images sampled from the Cellpose ‘cyto’ dataset, the TissueNet ...
The algorithm runs an initial iteration where the data points are randomly placed into groups, whose central point is known as centroid is calculated. The euclidean distance of each data point to the centroids is calculated, and if the distance of a point is higher than to another centroid, ...
Transposed centroid table for Product Quantizer (Faiss 1.7.3+) Allows to trade some very minor amount of RAM for a speedup ofpq.search()call.The reference in wiki This can be used for CPU-based IndexPQ and IndexIVFPQ as well, for example: ...
To make things easier, I am considering a flat lift distribution, and a constant spar and wing section/rectangular planform. I have calculated the moment of inertia of the different parts that make up the wing section, and located the resulting airfoil centroid, but I do not know how to ...
Learn to use Descartes' Rule of Signs in determining the number of positive and negative zeros of a polynomial equation. This article is a full guide that defines Descartes' Rule of Signs, the procedure on how to use it, and detailed examples and solutio
surface and topology of the sampled object. The most regularly used method for point cloud downsampling is the voxel-grid filter. Here the point cloud is divided into a 3D voxel grid and points within each voxel are replaced by the centroid of all points within that voxel [9,111,130,134...
Run on the Intel® Neural Compute Stick To run the application using the Intel® Neural Compute Stick, use the below command: ./monitor -m=/opt/intel/openvino/deployment_tools/open_model_zoo/tools/downloader/intel/pedestrian-and-vehicle-detector-adas-0001/FP16/pedestrian-and-vehicle-detector...