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- >>>>> started run at 11/12/2020 17:35:33{'data_path': ['H:/Sleep/8235_sleep'], 'subfolders': [], 'save_path0': 'H:/Sleep/8235_sleep', 'fast_disk': 'H:/Sleep/8235_sleep', 'input_format': 'tif'}
- tif
- ** Found 1 tifs - converting to binary **
- 2000 frames of binary, time 4.01 sec.
- 4000 frames of binary, time 5.89 sec.
- 6000 frames of binary, time 7.69 sec.
- 8000 frames of binary, time 9.47 sec.
- time 11.23 sec. Wrote 9516 tiff frames to binaries for 1 planes
- >>>>>>>>>>>>>>>>>>>>> PLANE 0 <<<<<<<<<<<<<<<<<<<<<<
- ----------- REGISTRATION
- registering 9516 frames
- Reference frame, 8.70 sec.
- 2500/9516 frames, 47.07 sec.
- 5000/9516 frames, 92.71 sec.
- 7500/9516 frames, 139.62 sec.
- 9516/9516 frames, 179.44 sec.
- 9516/9516 frames, 179.47 sec.
- bad frames file path: H:\Sleep\8235_sleep\bad_frames.npy
- ----------- Total 188.54 sec
- Registration metrics, 44.95 sec.
- ----------- ROI DETECTION AND EXTRACTION
- Binning movie in chunks of length 21
- Binned movie [453,508,504], 6.46 sec.
- NOTE: estimated spatial scale ~12 pixels, time epochs 1.00, threshold 10.00
- 0 ROIs, score=842.59
- 1000 ROIs, score=62.55
- 2000 ROIs, score=29.76
- 3000 ROIs, score=19.54
- 4000 ROIs, score=13.92
- Found 5000 ROIs, 68.06 sec
- After removing overlaps, 3008 ROIs remain
- Masks made in 29.87 sec.
- Extracted fluorescence from 3008 ROIs in 9516 frames, 139.47 sec.
- NOTE: applying classifier C:\Users\axelf\.suite2p\classifiers\classifier_user.npy
- ----------- Total 329.63 sec.
- WARNING: skipping spike detection (ops['spikedetect']=False)
- Plane 0 processed in 563.65 sec (can open in GUI).
- total = 375.11 sec.
- TOTAL RUNTIME 375.46 sec
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