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coopot's Projects

animateddrawings icon animateddrawings

Code to accompany "A Method for Animating Children's Drawings of the Human Figure"

awesome-chatgpt-zh icon awesome-chatgpt-zh

ChatGPT 中文指南🔥,ChatGPT 中文调教指南,指令指南,应用开发指南,精选资源清单,更好的使用 chatGPT 让你的生产力 up up up! 🚀

book4_power-of-matrix icon book4_power-of-matrix

《矩阵力量》,584幅图,81个代码文件,其中18个Streamlit App;状态:清华社五审五校中;Github稿件基本稳定,欢迎提意见,会及时修改

chatgpt-next-web icon chatgpt-next-web

一键拥有你自己的 ChatGPT 网页服务。 One-Click to deploy your own ChatGPT web UI.

chatgpt-prompts-chinese icon chatgpt-prompts-chinese

极好的ChatGPT中文提示命令,对标awesome-chatgpt-prompts,命令包含awesome-chatgpt-prompts的中文翻译版(不定期翻译更新和优化,命令为英文命令后加zh),以及部分精选的独创中文命令。

chatgpt_prompt icon chatgpt_prompt

ChatGPT中文调教高级版指南,部分Prompt付费购买,分享给大家

comfyui_example_area_composition icon comfyui_example_area_composition

This ComfyUI nodes setup shows how the conditioning mechanism works. Stitching AI horizontal panorama, lanscape with different seasons. The example is based on the original modular interface sample from ComfyUI_examples -> Area Composition Examples

continous-sign-language-translator- icon continous-sign-language-translator-

Sign language interpreters are currently required for interpreting the speech impaired people. This skill-based job of interpreters is cumbersome and hence the number of interpreters per capita across majority countries are very low or decreasing. We aim to harness technology in developing a powerful continuous sign language gestures recognition system. This computer vision-based approach will be used to recognise Argentinian sign language gestures from a video. Translating these sign language gestures is considered a monumental task in this field. The project proposes to investigate whether sign language gestures can be recognised by using a trained modified Inception V3 working as a feature selector and classifier, with a LTSM Recurrent Neural Network. Two separate approaches have been applied to recognise the Argentinian gestures. The Global Max Pooling approach outperforms the SoftMax approach, with a model accuracy of 86.10% on validation set and 75.2% on test set. Using the Inception V3 model as a feature extractor for LTSM RNN worked more efficiently and produced better results than using the Inception V3 model as a classifier. These results show the effectiveness of the research conducted. This research will help in classifying and recognising continuous sign language gestures based on machine vision. This in turn will assist people that are affected by speech and hearing impairment in understanding, translating and recognising sign gestures.

db-gpt icon db-gpt

Revolutionizing Database Interactions with Private LLM Technology

easyio-lib-for-esp32 icon easyio-lib-for-esp32

To simplify the development of ESP32 in ESP-IDF, Easyio provides a complete driver library

esp-idf-sx127x icon esp-idf-sx127x

SX1276/77/78/79 Low Power Long Range Transceiver driver for esp-idf

esp32voipdoorbell icon esp32voipdoorbell

VOIP doorphone / doorbell realized with ESP32, i2s MEMS (INMP441) and a i2s amplifier (MAX98357)

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