WIP: Slicereg
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added 1 commit
- 5cd93e39 - fixed schema whitespace
By Carlos Gonzalez-Fernandez on 2020-05-31T19:52:57 (imported from GitLab)
added 1 commit
- 2506c43e - simplified beads
By Carlos Gonzalez-Fernandez on 2020-05-31T20:04:08 (imported from GitLab)
added 1 commit
- 68017cd7 - simplified beads
By Carlos Gonzalez-Fernandez on 2020-05-31T20:06:36 (imported from GitLab)
added 1 commit
- e215acc2 - simplified beads
By Carlos Gonzalez-Fernandez on 2020-05-31T20:09:07 (imported from GitLab)
added 1 commit
- 6c487ddc - simplified beads
By Carlos Gonzalez-Fernandez on 2020-05-31T20:12:01 (imported from GitLab)
added 1 commit
- 32f8ea4b - simplified beads
By Carlos Gonzalez-Fernandez on 2020-05-31T20:13:10 (imported from GitLab)
added 1 commit
- b7b7320f - simplified reg
By Carlos Gonzalez-Fernandez on 2020-05-31T20:23:14 (imported from GitLab)
added 1 commit
- 7778c871 - simplified reg
By Carlos Gonzalez-Fernandez on 2020-05-31T20:25:54 (imported from GitLab)
added 1 commit
- e007be52 - flagged for complexity check
By Carlos Gonzalez-Fernandez on 2020-05-31T20:40:06 (imported from GitLab)
- Resolved by Eduardo Gonzalez Solares
- Resolved by Eduardo Gonzalez Solares
- Resolved by Eduardo Gonzalez Solares
- Resolved by Eduardo Gonzalez Solares
- stpt_pipeline/bead_model.py 0 → 100644
- stpt_pipeline/bead_model.py 0 → 100644
40 return np.inf 41 if y0 < -10: 42 return np.inf 43 if c < 1: 44 return np.inf 45 if s < 0.0: 46 return np.inf 47 if p < 0.0: 48 return np.inf 49 # model=1.+bead_profile_2d(xx,yy,x0,y0,rt,p,a,c) 50 model = 1. + bead_profile_supergaussian(xx, yy, x0, y0, p, s, c) 51 ll = -model + (1. + zz) * np.log(model) 52 if do_full: 53 ll -= np.log(factorial(1. + zz)) 54 # 55 if do_print: - stpt_pipeline/bead_model.py 0 → 100644
66 return np.inf 67 if y0 < -10: 68 return np.inf 69 if c < 1: 70 return np.inf 71 if s < 0.0: 72 return np.inf 73 if p < 0.0: 74 return np.inf 75 # model=1.+bead_profile_2d(xx,yy,x0,y0,rt,p,a,c) 76 model = 1. + bead_profile_supergaussian(xx, yy, x0, y0, p, s, c) 77 ll = (-model + (1. + zz) * np.log(model)) * conf 78 if do_full: 79 ll -= np.log(factorial(1. + zz)) 80 # 81 if do_print: