config.yaml 2.0 KB

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  1. # Project definitions (do not edit)
  2. Task: openfield
  3. scorer: Pranav
  4. date: Aug20
  5. multianimalproject: false
  6. identity:
  7. # Project path (change when moving around)
  8. project_path: /Users/sakshamsharda/Documents/NWB/GIN/behavior_testing_data/DLC
  9. # Annotation data set configuration (and individual video cropping parameters)
  10. video_sets:
  11. /Data/openfield-Pranav-2018-08-20/videos/m1s1.mp4:
  12. crop: 0, 640, 0, 480
  13. /Data/openfield-Pranav-2018-08-20/videos/m1s2.mp4:
  14. crop: 0, 640, 0, 480
  15. /Data/openfield-Pranav-2018-08-20/videos/m2s1.mp4:
  16. crop: 0, 640, 0, 480
  17. /Data/openfield-Pranav-2018-08-20/videos/m3s1.mp4:
  18. crop: 0, 640, 0, 480
  19. /Data/openfield-Pranav-2018-08-20/videos/m3s2.mp4:
  20. crop: 0, 640, 0, 480
  21. /Data/openfield-Pranav-2018-08-20/videos/m4s1.mp4:
  22. crop: 0, 640, 0, 480
  23. /Data/openfield-Pranav-2018-08-20/videos/m5s1.mp4:
  24. crop: 0, 800, 0, 800
  25. /Data/openfield-Pranav-2018-08-20/videos/m6s1.mp4:
  26. crop: 0, 800, 0, 800
  27. /Data/openfield-Pranav-2018-08-20/videos/m6s2.mp4:
  28. crop: 0, 800, 0, 800
  29. /Data/openfield-Pranav-2018-08-20/videos/m7s1.mp4:
  30. crop: 0, 800, 0, 800
  31. /Data/openfield-Pranav-2018-08-20/videos/m7s2.mp4:
  32. crop: 0, 800, 0, 800
  33. /Data/openfield-Pranav-2018-08-20/videos/m7s3.mp4:
  34. crop: 0, 800, 0, 800
  35. /Data/openfield-Pranav-2018-08-20/videos/m8s1.mp4:
  36. crop: 0, 800, 0, 800
  37. bodyparts:
  38. - snout
  39. - leftear
  40. - rightear
  41. - tailbase
  42. start: 0
  43. stop: 1
  44. numframes2pick: 20
  45. # Plotting configuration
  46. skeleton: []
  47. skeleton_color: black
  48. pcutoff: 0.4
  49. dotsize: 8
  50. alphavalue: 0.7
  51. colormap: jet
  52. # Training,Evaluation and Analysis configuration
  53. TrainingFraction:
  54. - 0.95
  55. iteration: 1
  56. default_net_type: resnet_50
  57. default_augmenter: default
  58. snapshotindex: -1
  59. batch_size: 1
  60. # Cropping Parameters (for analysis and outlier frame detection)
  61. cropping: false
  62. #if cropping is true for analysis, then set the values here:
  63. x1: 0
  64. x2: 640
  65. y1: 277
  66. y2: 624
  67. # Refinement configuration (parameters from annotation dataset configuration also relevant in this stage)
  68. corner2move2:
  69. - 50
  70. - 50
  71. move2corner: true
  72. croppedtraining: