tensorflow-yolov4-tflite
tf2patcher
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| tensorflow-yolov4-tflite | tf2patcher | |
|---|---|---|
| 4 | 7 | |
| 2,223 | 37 | |
| - | - | |
| 0.0 | 0.0 | |
| 11 months ago | 4 days ago | |
| Python | C | |
| MIT License | The Unlicense |
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tensorflow-yolov4-tflite
- Object tracking on Android
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Tensorflow Yolo Implementation
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
- “ValueError: cannot reshape array of size 278540 into shape (256,128,3,3)” Conversion YOLOv3 .weights to .pb
tf2patcher
- I want to make an objector but this always seems to happen. I did the stuff with the custom user stuff folder and etc but still it does this
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How do i get original colors on my consientious objector?
There is tf2patcher who does it for you
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My objector had someone else's decal for a second there.
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.
- Flairing myself with best girl in TF2
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Colors for the Conscientious objector not working
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
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finally crafted the sign but can't change the color :( even tried the folders trick but still couldn't do it (btw sorry i had more screen shots but my desktop couldn't save it)
Try this. Make sure you follow the instructions of:
What are some alternatives?
darknet - YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )
TrainYourOwnYOLO - Train a state-of-the-art yolov3 object detector from scratch!
YOLOX - YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/
seed_rl - SEED RL: Scalable and Efficient Deep-RL with Accelerated Central Inference. Implements IMPALA and R2D2 algorithms in TF2 with SEED's architecture.
edge-tpu-tiny-yolo - Run Tiny YOLO-v3 on Google's Edge TPU USB Accelerator.
VAC - Source code of Valve Anti-Cheat obtained from disassembly of compiled modules
tensorflow-lite-YOLOv3 - YOLOv3: convert .weights to .tflite format for tensorflow lite. Convert .weights to .pb format for tensorflow serving
mastercomfig - A modern customization framework for Team Fortress 2
Swin-Transformer-Tensorflow - Unofficial implementation of "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" (https://arxiv.org/abs/2103.14030)
yolov3-tf2 - YoloV3 Implemented in Tensorflow 2.0
yolo-tensorrt - TensorRT8.Support Yolov5n,s,m,l,x .darknet -> tensorrt. Yolov4 Yolov3 use raw darknet *.weights and *.cfg fils. If the wrapper is useful to you,please Star it.
tensorrtx - Implementation of popular deep learning networks with TensorRT network definition API