DarkHelp VS DarkPlate

The code is open-source. The project starts with this: https://github.com/stephanecharette/DarkHelp/blob/master/src-apps/video_object_counter.cpp

In my repo (https://github.com/stephanecharette/DarkHelp) I say that? Please show me where.

From your description: I'd use the MoveDetect library to find where movement occurs, and then feed just those frames or videos into DarkHelp. Note that DarkHelp also has much richer JSON output than the vanilla Darknet CLI.

Came here to say the same. I work mostly on embedded devices, OpenCV, ML/CV type of products. And all our cmake files use globbing, and we love it. Here is an example CMake file for an open source tool I publish on github: https://github.com/stephanecharette/DarkHelp/blob/master/src-lib/CMakeLists.txt

I use the darknet C++ API, DarkHelp. But to be fair and in the spirit of full disclosure...I wrote it. :)

(I'm the author of DarkHelp, the C++ layer for Darknet.)

DarkHelp will load videos, run inference, and create a new output video. https://github.com/stephanecharette/DarkHelp

Take a look at DarkPlate, which can process either videos or static images: https://github.com/stephanecharette/DarkPlate

This is how I would do it: https://github.com/stephanecharette/DarkPlate

Here is an example project with 37 classes, and all the images are within the same folder: https://github.com/stephanecharette/DarkPlate/tree/master/nn

1) At the very bottom of this page: https://www.ccoderun.ca/darkhelp/api/API.html 2) This example github project: https://github.com/stephanecharette/DarkPlate

I use YOLOv4-tiny. I make two passes with the same neural network. First pass to find the plate, 2nd pass to read the characters. Demo (skip to 86 seconds): https://www.youtube.com/watch?v=jz97_-PCxl4&t=86s and code: https://github.com/stephanecharette/DarkPlate

See here for example, where frames are extracted and then passed to the neural network for processing: https://github.com/stephanecharette/DarkPlate/blob/master/src/main.cpp#L216-L217