keras_cv_stable_diffusion_to_tflite
hand-gesture-recognition-mediapipe
keras_cv_stable_diffusion_to_tflite | hand-gesture-recognition-mediapipe | |
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1 | 1 | |
25 | 421 | |
- | - | |
5.1 | 0.0 | |
about 1 year ago | about 2 months ago | |
Jupyter Notebook | Jupyter Notebook | |
BSD 3-clause "New" or "Revised" License | Apache License 2.0 |
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keras_cv_stable_diffusion_to_tflite
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Finally got Automatic1111 to work with just CPU!
There are more options, such as using tflite to run SD. For instance, it can be used to run SD locally on mobile phones -- https://github.com/freedomtan/keras_cv_stable_diffusion_to_tflite
hand-gesture-recognition-mediapipe
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Looking for help with a python project!
I am new to machinelearning , openCV and Mediapipe programming with python and I need help with a project , about Hand-gesture-recognition related to this git-hub repo: https://github.com/kinivi/hand-gesture-recognition-mediapipe , I want to ask some questions , that the docuntation does not explain clearly enough for me. I have modified the .py files a bit , in order to train the model in new stationary hand gestures (keypoint_classification) , but I need help with moving gestures (point_history_classification). Any help would be much appreciated. Thank you in advance!!!
What are some alternatives?
TFLiteDetection - TensorFlow Lite Object Detection Python Implementation
tensorflow_Realtime_Multi-Person_Pose_Estimation - Multi-Person Pose Estimation project for Tensorflow 2.0 with a small and fast model based on MobilenetV3
tensorflow-onnx - Convert TensorFlow, Keras, Tensorflow.js and Tflite models to ONNX
TFLiteSegmentation - TensorFlow Lite Segementation example in Python
infery-examples - A collection of demo-apps and inference scripts for various deep learning frameworks using infery (Python).
deepbacksub - Virtual Video Device for Background Replacement with Deep Semantic Segmentation
TFLiteClassification - TensorFlow Lite Image Classification Python Implementation
fast-stable-diffusion - fast-stable-diffusion + DreamBooth