CleanTF2plus
tensorflow-yolov4-tflite
| CleanTF2plus | tensorflow-yolov4-tflite | |
|---|---|---|
| 8 | 4 | |
| 117 | 2,232 | |
| - | - | |
| 2.5 | 0.0 | |
| 5 months ago | 4 months ago | |
| Batchfile | Python | |
| MIT License | MIT License |
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CleanTF2plus
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FPS Performance Thread
2) Standalone mods such as the commonly used no hats mod: No-Hats-Mod bgum [Team Fortress 2] [Mods] (gamebanana.com) and flat textures mod: Flat Textures (2021) [Team Fortress 2] [Mods] (gamebanana.com) offer little and no fps increase respectively. However, This mod: GitHub - JarateKing/CleanTF2plus: Clean TF2's sequel combines flat texture and no hats with a few other changes. Even if the other changes are not implemented, the mod offers a substantial fps boost (especially in the lower areas).
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No cool frag clip 4 u
mastercomfig low settings + -w 1024 -h 768 and stretched resolution (b4nny made a video on this) and for the flat textures: https://github.com/JarateKing/CleanTF2plus
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definitely intentional
mastercomfig: Medium-Low + CleanTF2+ but only for flat textures
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What is the minimum requirements to play comp?
https://github.com/JarateKing/CleanTF2plus/releases/tag/1.0.0 try this + mastercomfig low
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don't mind me, just conga-ing with uncle dane in a skial 2fort server
It is CleanTF2plus, https://github.com/JarateKing/CleanTF2plus
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Are there any mods down below?
- Any Flat texture Mod that is similar to CleanTf2Plus Flat texture but it's Broken. ( IK there are many flat texture mods In GameBanana but most of them are either too Outdated or aren't nice enough).
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Can't comprehend what my intent was
CleanTF2
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A simple trick to make your Badwater pub pushes easier (As any class!)
cleantf2plus by jarateking - follow the instructions in the app https://github.com/JarateKing/CleanTF2plus\
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
What are some alternatives?
ZeesHUD-UnDonored - A stylish and ambitious TF2 HUD project. Modified by Lead/p3tr1ch0r to fix the donator related issues
darknet - YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )
Fast-SRGAN - A Fast Deep Learning Model to Upsample Low Resolution Videos to High Resolution at 30fps
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/
TrainYourOwnYOLO - Train a state-of-the-art yolov3 object detector from scratch!
edge-tpu-tiny-yolo - Run Tiny YOLO-v3 on Google's Edge TPU USB Accelerator.
seed_rl - SEED RL: Scalable and Efficient Deep-RL with Accelerated Central Inference. Implements IMPALA and R2D2 algorithms in TF2 with SEED's architecture.
tensorflow-lite-YOLOv3 - YOLOv3: convert .weights to .tflite format for tensorflow lite. Convert .weights to .pb format for tensorflow serving
tf-explain - Interpretability Methods for tf.keras models with Tensorflow 2.x
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.