Instructions to use BAAI/Brainmu-SpikeCamera with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BAAI/Brainmu-SpikeCamera with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import SpikeConvFrontend model = SpikeConvFrontend.from_pretrained("BAAI/Brainmu-SpikeCamera", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download src/tests/test_evaluation.py from BAAI/Brainmu-SpikeCamera: direct link, hf CLI and curl.
- Browser
- Download file 1.01 kB
-
https://huggingface.co/BAAI/Brainmu-SpikeCamera/resolve/main/src/tests/test_evaluation.py
- Command line
-
hf download hf://BAAI/Brainmu-SpikeCamera/src/tests/test_evaluation.py
-
curl -L -o test_evaluation.py https://huggingface.co/BAAI/Brainmu-SpikeCamera/resolve/main/src/tests/test_evaluation.py
1.01 kB
| import importlib.util,tempfile,unittest | |
| from pathlib import Path | |
| from PIL import Image | |
| spec=importlib.util.spec_from_file_location("evaluation",Path(__file__).resolve().parents[1]/"scripts/infer.py") | |
| m=importlib.util.module_from_spec(spec);spec.loader.exec_module(m) | |
| class EvaluationTests(unittest.TestCase): | |
| def test_complete_pair_and_hashes(self): | |
| with tempfile.TemporaryDirectory() as d: | |
| p=Path(d);(p/"x.dat").write_bytes(bytes(512500));Image.new("RGB",(400,250)).save(p/"x.png") | |
| files,rows=m.validate_pairs(p,p,1) | |
| self.assertEqual(len(files),1);self.assertEqual(len(rows[0]["spike_sha256"]),64) | |
| with self.assertRaises(ValueError):m.validate_pairs(p,p,1000) | |
| def test_missing_or_bad_gt(self): | |
| with tempfile.TemporaryDirectory() as d: | |
| p=Path(d);(p/"x.dat").write_bytes(bytes(512500)) | |
| with self.assertRaises(ValueError):m.validate_pairs(p,p,1) | |
| Image.new("RGB",(10,10)).save(p/"x.png") | |
| with self.assertRaises(ValueError):m.validate_pairs(p,p,1) | |
| if __name__=="__main__":unittest.main() | |