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author | Saumit Dinesan <justsaumit@protonmail.com> | 2023-05-09 14:25:25 +0530 |
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committer | Saumit Dinesan <justsaumit@protonmail.com> | 2023-05-09 14:25:25 +0530 |
commit | baeb2249ee30144b3eb266d53117b6fae5dadb0c (patch) | |
tree | 74db9547bbb28d1f446438e682479f33c9fc3154 /face-detection/02_face_training.py | |
parent | 87c29457ed425d1ff35cdbb684a534678fa29d6a (diff) |
Enhanced code to handle creation of 'dataset' & 'trainer' folder for saving images and model
Diffstat (limited to 'face-detection/02_face_training.py')
-rw-r--r-- | face-detection/02_face_training.py | 3 |
1 files changed, 3 insertions, 0 deletions
diff --git a/face-detection/02_face_training.py b/face-detection/02_face_training.py index 68b21fe..a0d5a43 100644 --- a/face-detection/02_face_training.py +++ b/face-detection/02_face_training.py @@ -26,6 +26,9 @@ print ("\n [INFO] Training faces. It will take a few seconds. Wait ...") faces,ids = getImagesAndLabels(path) #Train the LBPH recognizer using the face samples and their corresponding labels recognizer.train(faces, np.array(ids)) +# if trainer folder doesnt exist create: +if not os.path.exists("trainer"): + os.makedirs("trainer") #save the model into trainer/trainer.yml recognizer.write('trainer/trainer.yml') # Print the numer of faces trained and then exit the program |