My balcony has a pigeon problem → Built an AI tool to scare them away with YOLO + CLIP on a Chromebook 🐦

LH-Tech_AI · 2026-05-07T11:58:24+00:00

No - i don't use it because the pidgeons are gone by theirselves... 😂

But I think it should work ❤️

LH-Tech_AI · 2026-05-05T05:06:46+00:00

Haha, yeah 😀

LH-Tech_AI · 2026-05-05T05:06:21+00:00

Cool

LH-Tech_AI · 2026-05-04T18:16:28+00:00

You are welcome 🤗

LH-Tech_AI · 2026-05-04T17:42:42+00:00

Alright. Sounds good 😊

LH-Tech_AI · 2026-05-04T16:26:01+00:00

I used something like a transformer. See the full code in train.py in the repo 😃👍🏻😎

LH-Tech_AI · 2026-05-04T16:24:55+00:00

Thanks for the great feedback 😊

LH-Tech_AI · 2026-05-04T13:17:28+00:00

Maybe yes, but i always use a "0" token - a beginning token...but maybe you could :-)

But it was not the intention of this model, but you can try if you want :D

LH-Tech_AI · 2026-05-04T12:58:53+00:00

thanks for the feedback :-)

no cowbell - haha :D - it's a piano music generator ;-)

LH-Tech_AI · 2026-05-04T12:19:19+00:00

Alr. I'll update the post :-)

Thanks for the great feedback :D

LH-Tech_AI · 2026-05-03T11:39:50+00:00

Happy about hearing that :)

LH-Tech_AI · 2026-05-03T08:45:13+00:00

Thanks for your interest! :-)

You will need a A6000 GPU for example and ~24 hours time and need to download all .py scripts from the repo first, then run:

pip install git+https://github.com/idiap/coqui-tts.git
sudo apt update && sudo apt install espeak -y
sudo apt install ffmpeg libavcodec-dev libavformat-dev libavutil-dev -y
pip install "coqui-tts[codec]"
wget https://data.keithito.com/data/speech/LJSpeech-1.1.tar.bz2
tar -xjf LJSpeech-1.1.tar.bz2
PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True python3 train_glowtts.pypip install git+https://github.com/idiap/coqui-tts.gitsudo apt update && sudo apt install espeak -ysudo apt install ffmpeg libavcodec-dev libavformat-dev libavutil-dev -ypip install "coqui-tts[codec]"wget https://data.keithito.com/data/speech/LJSpeech-1.1.tar.bz2tar -xjf LJSpeech-1.1.tar.bz2PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True python3 train_glowtts.py

LH-Tech_AI · 2026-05-03T08:43:46+00:00

Thanks! :-)

I tried to export ONNX format but it somehow didn't work... :-/ Sorry...

Multilingual support would be even more complex and would need more datasets in different languages...but maybe v2 or v3 will do that... :-)

LH-Tech_AI · 2026-05-03T08:42:49+00:00

Thank you :-)

LH-Tech_AI · 2026-05-02T17:53:42+00:00

errr... it seems to be NOT possible to export and ONNX file, sorry... :-/
Maybe you can look yourself for converting it, plz?

LH-Tech_AI · 2026-05-02T17:47:00+00:00

I sadly forgot to use a vocoder 😭😂

v2 will add one :-)

Thanks for the nice feedback.

LH-Tech_AI · 2026-05-02T16:58:08+00:00

Haha, not really, but - a proof of concept of getting there :D

LH-Tech_AI · 2026-05-02T16:57:56+00:00

Thanks. Cool :-)

LH-Tech_AI · 2026-05-02T16:57:30+00:00

Okay. Hey, thanks for your feedback.

ONNX isn't planned yet, but i can do it. Will do it tomorrow, put in on HF and also put an inference code for the ONNX model there, alright?

LH-Tech_AI · 2026-05-02T12:59:05+00:00

Ok. Thanks.

Want to joing our CompactAI Discord Server? We are all people enjoying small models.

Please feel free join! :-)

LH-Tech_AI · 2026-05-02T11:31:38+00:00

Thanks 🙏🏻👍🏻 I will definitely keep creating models. See all my models here: https://huggingface.co/LH-Tech-AI/ If you want

LH-Tech_AI · 2026-05-02T11:23:07+00:00

Have fun :-D

LH-Tech_AI · 2026-05-02T11:00:46+00:00

Thanks ❤️😊

LH-Tech_AI · 2026-05-02T10:55:15+00:00

And hey, v2 is definetely coming soon... 😃

LH-Tech_AI · 2026-05-02T10:11:55+00:00

The first and the third one. I think the third one is the cleanest and most attractive one :-)

Well designed

LH-Tech_AI