tf2patcher VS tensorflow-yolov4-tflite

There is tf2patcher who does it for you

For the sign, you use a 128x128 png named paper_overlay.png, and place that in tf\custom\CustomDecals\scripts\items\custom_texture_blend_layers inside your TF2 folder. For the Flair!, it's the same thing, except you call it flair_template_guide.png, and then you adjust the palette slider until you get full-colour. For the Photo Badge/Clan Pride, it's a little more complicated; still the same, save for calling it Photo_Badge_Overlay.png, but then you need to use a patcher when in the main menu to circumvent the bit that makes it not full-colour. After applying, you'd need to restart the game to reverse the patcher's effects, so that you don't accidentally trip up the VAC.

You definitely did something wrong. Make sure to double check via a tutorial and the names of folders, resolutions. Don't type .png at the end as well. If nothing works you can use tf2patcher here

Try this. Make sure you follow the instructions of:

Hello all, I've been desperate for help in the tensorflow yolo objection detection framework. Basically, in https://github.com/hunglc007/tensorflow-yolov4-tflite 's implementation, there is problem whereby with GPU, it only detects the first frame in the whole video while CPU works fine but absolutely slow. There are issues opened at https://github.com/hunglc007/tensorflow-yolov4-tflite/issues/282 but no proper solution is found. I've also opened a question stackoverflow: https://stackoverflow.com/questions/68333281/tensorflow-yolov4-detect-video