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- >>>>> started run at 30/11/2020 12:15:37{'data_path': ['H:/Sleep/20201028_GCaMP6f_8238_awake/6'], 'subfolders': [], 'save_path0': 'H:/Sleep/20201028_GCaMP6f_8238_awake/6', 'fast_disk': 'H:/Sleep/20201028_GCaMP6f_8238_awake/6', 'input_format': 'tif'}
- tif
- ** Found 1 tifs - converting to binary **
- 2000 frames of binary, time 5.49 sec.
- 4000 frames of binary, time 7.53 sec.
- 6000 frames of binary, time 9.57 sec.
- 8000 frames of binary, time 11.50 sec.
- time 13.54 sec. Wrote 8944 tiff frames to binaries for 1 planes
- >>>>>>>>>>>>>>>>>>>>> PLANE 0 <<<<<<<<<<<<<<<<<<<<<<
- ----------- REGISTRATION
- registering 8944 frames
- Reference frame, 14.69 sec.
- 2500/8944 frames, 75.89 sec.
- 5000/8944 frames, 150.02 sec.
- 7500/8944 frames, 222.69 sec.
- 8944/8944 frames, 269.97 sec.
- bad frames file path: H:\Sleep\20201028_GCaMP6f_8238_awake\6\bad_frames.npy
- ----------- Total 285.09 sec
- Registration metrics, 66.43 sec.
- ----------- ROI DETECTION AND EXTRACTION
- Binning movie in chunks of length 21
- Binned movie [425,500,488], 8.31 sec.
- NOTE: estimated spatial scale ~12 pixels, time epochs 1.00, threshold 10.00
- 0 ROIs, score=359.59
- 1000 ROIs, score=16.89
- Found 1951 ROIs, 36.80 sec
- After removing overlaps, 1676 ROIs remain
- Masks made in 20.64 sec.
- Extracted fluorescence from 1676 ROIs in 8944 frames, 97.47 sec.
- NOTE: applying classifier C:\Users\axelf\.suite2p\classifiers\classifier_user.npy
- ----------- Total 171.67 sec.
- WARNING: skipping spike detection (ops['spikedetect']=False)
- Plane 0 processed in 523.69 sec (can open in GUI).
- total = 238.60 sec.
- TOTAL RUNTIME 238.94 sec
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