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No longer maintained. See pip archive https://pypi.org/project/cryolo/#history
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Version: 1.3.6
Uploaded: 17. May 2019 DOWNLOAD GPU VERSION DOWNLOAD CPU VERSION
Version: 1.3.5
Uploaded: 03. May 2019 DOWNLOAD GPU VERSION DOWNLOAD CPU VERSION
Version: 1.3.4
Uploaded: 23. April 2019 DOWNLOAD GPU VERSION DOWNLOAD CPU VERSION
Version: 1.3.3
Uploaded: 08. April 2019 DOWNLOAD GPU VERSIONDOWNLOAD CPU VERSION
Version: 1.3.2
Uploaded: 05. April 2019 DOWNLOAD GPU VERSION DOWNLOAD CPU VERSION
Version: 1.3.1
Uploaded: 18. March 2019 DOWNLOAD
Version: 1.3.0
Uploaded: 14. March 2019 DOWNLOAD
Version: 1.2.3
Uploaded: 12. February 2019 DOWNLOAD
Version: 1.2.2
Uploaded: 21. December 2018 DOWNLOAD
Version: 1.2.1
Uploaded: 05. December 2018 DOWNLOAD
Version: 1.2.0
Uploaded: 27. November 2018 DOWNLOAD
Version: 1.1.4
Uploaded: 18. September 2018 DOWNLOAD
Version: 1.1.3
Uploaded: 14. September 2018 DOWNLOAD
Version: 1.1.2
Uploaded: 12. September 2018 DOWNLOAD
Version: 1.1.1
Uploaded: 10. September 2018 DOWNLOAD
Version: 1.1.0
Uploaded: 23. August 2018 DOWNLOAD
Version: 1.0.4
Uploaded: 13. July 2018 DOWNLOAD
Version: 1.0.3
Uploaded: 09. July 2018 DOWNLOAD
Version: 1.0.2
Uploaded: 04. July 2018 DOWNLOAD
Version 1.0.1
Download the crYOLO version 1.0.1 here : DOWNLOAD (UPDATED at 03. July 2018)
Version 1.0.0
Download the crYOLO version 1.0.0 here : DOWNLOAD
No longer maintained. See pip archive https://pypi.org/project/cryoloBM/#history
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Version: 1.2.2
Uploaded: 03. May 2019 DOWNLOAD
Version: 1.2.1
Uploaded: 05. April 2019 DOWNLOAD
Version: 1.2.0
Uploaded: 14. March 2019 DOWNLOAD
Version: 1.1.1
Uploaded: 21. December 2018 DOWNLOAD
Version: 1.1.0
Uploaded: 27. November 2018 DOWNLOAD
Version: 1.0.4
Uploaded: 18. September 2018 DOWNLOAD
Version: 1.0.3
Uploaded: 23. August 2018 DOWNLOAD
Version: 1.0.2
Uploaded: 09. July 2018 DOWNLOAD
Version: 1.0.1
Uploaded: 03. July 2018 DOWNLOAD
Version 1.0.0 Download the crYOLO boxmanager 1.0.0 here: DOWNLOAD
cryo (low-pass): DOWNLOAD
Config is the same as in version 20191221.
cryo (janni): DOWNLOAD
{ "model" : { "architecture": "PhosaurusNet", "input_size": 1024, "anchors": [205,205], "max_box_per_image": 700, "num_patches": 1, "filter": ["gmodel_janni_20190703.h5",24,3,"tmp_filtered_nn"] } }
DOWNLOAD (Uploaded: 14. March 2019) Number of datasets: 32 real, 10 simulated, 10 particle free datasets on various grids with contaminations.
Config is the same as in version 20191221.
DOWNLOAD (Uploaded: 18. February 2019) Number of datasets: 30 real, 10 simulated, 10 particle free datasets on various grids with contaminations
Config is the same as in version 20191221.
DOWNLOAD (Uploaded: 21. December 2018) Number of datasets: 27 (real), 10 simulated, 10 particle free datasets on various grids
{ "model" : { "architecture": "PhosaurusNet", "input_size": 1024, "anchors": [205,205], "max_box_per_image": 700, "num_patches": 1, "filter": [0.1,"tmp_filtered"] } }
DOWNLOAD (Uploaded: 27. November 2018) Number of datasets: 27 (real), 10 simulated, 10 particle free datasets on various grids
{ "model" : { "architecture": "YOLO", "input_size": 1024, "anchors": [205,205], "overlap_patches": 200, "max_box_per_image": 700, "num_patches": 2, "filter": [0.1,"tmp_filtered"] } }
DOWNLOAD (Uploaded: 23. August 2018) Number of real handpicked datasets included: 25 (+8 particle free datasets on various grids)
Compatible config:
{ "model" : { "architecture": "YOLO", "input_size": 768, "anchors": [205,205], "max_box_per_image": 600, "overlap_patches": 200, "num_patches": 3 } }
DOWNLOAD (Uploaded: 20. July 2018) Number of real handpicked datasets included: 20
Compatible config:
{ "model" : { "architecture": "YOLO", "input_size": 1024, "anchors": [205,205], "max_box_per_image": 600, "num_patches": 2 } }
DOWNLOAD (Uploaded: 04. July 2018) Number of real handpicked datasets included: 14
Compatible config:
{ "model" : { "architecture": "YOLO", "input_size": 768, "anchors": [160,160], "max_box_per_image": 600, "num_patches": 2 } }
Number of real handpicked datasets included: 10
Uploaded: 28. June 2018
{ "model" : { "architecture": "crYOLO", "input_size": 1024, "anchors": [160,160], "max_box_per_image": 600 } }
Info: Trained on cryo images, therefore negative stain will not work.