文件名称：deep-calcium:具有完全卷积网络的快速，简单的钙成像分割（https
文件大小：20.44MB
文件格式：ZIP
更新时间：2024-05-22 13:38:53
deep-learning unet calcium-imaging neurofinder Python
深钙 钙成像数据的深度学习模型 安装与范例 使用预训练的UNet2DS模型安装软件包并在Neurofinder上进行预测。 注意：这里假设使用python3.5和pip3。 # Install from Github repo. Need to upgrade pip. $ pip install --upgrade --user -I pip $ pip install --user git+https://github.com/alexklibisz/deep-calcium.git # Download the model from Github releases. $ wget https://github.com/alexklibisz/deep-calcium/releases/download/v0.0.1-weights/unet2ds_model.hdf5 # Dow
【文件预览】：
deep-calcium-master
----.gitattributes(37B)
----notebooks()
--------unet2ds_inspection.ipynb(1.04MB)
--------unet2ds_random_hyperparameter_search.ipynb(271KB)
--------suli_figures.ipynb(380KB)
--------dlmia_workshop_supplementary.ipynb(24.43MB)
--------.gitignore(27B)
--------dlmia_workshop_figures.ipynb(586KB)
----requirements.txt(1KB)
----media()
--------nf_scores_unet2ds-tta_0.5422.png(36KB)
--------nf_scores_unet2ds_0.5011_old_implementation.png(30KB)
--------suli_fig_spikes_pred_00.png(104KB)
--------nf_scores_unet2ds-tta_0.5689.png(43KB)
--------nf_scores_unet2ds_0.5155.png(30KB)
--------suli_fig_neurons_outlined_pred_01.png(80KB)
--------nf_scores_unet2ds_0.5089.png(32KB)
--------nf_scores_unet2ds_0.5611.png(45KB)
--------nf_scores_unet2ds_0.5356.png(35KB)
----examples()
--------spikes()
--------neurons()
--------__init__.py(0B)
----setup.py(1KB)
----README.md(6KB)
----.gitignore(1KB)
----deepcalcium()
--------utils()
--------models()
--------__init__.py(22B)
--------datasets()