@prakharcode used your changed file as well, but it says (buffer is too small for requested array) for last two layers (conv_20 and yolo_1). i'm actually trying to convert YOLO v4-tiny .weights file into .h5 format so that i can access those weights and reuse them in my own code in c++. i've tried all convert.py files and yad2k.py files on internet but same issue. the cfg and weights file works fine itself when read from cv.dnn.readfromdarkent("cfg path", "weights path") but i need to acess weights as floating point values arrays and always stuck on last two layers, can you plzz help me in this case, i'd be grateful to you. i've attached my cfg file and weights file along with some convert files i tried but each time ended up having the same issue.
yolov4-tiny.zip