diff options
| author | Saumit Dinesan <justsaumit@protonmail.com> | 2023-05-09 14:25:25 +0530 |
|---|---|---|
| committer | Saumit Dinesan <justsaumit@protonmail.com> | 2023-05-09 14:25:25 +0530 |
| commit | baeb2249ee30144b3eb266d53117b6fae5dadb0c (patch) | |
| tree | 74db9547bbb28d1f446438e682479f33c9fc3154 /face-detection | |
| parent | 87c29457ed425d1ff35cdbb684a534678fa29d6a (diff) | |
Enhanced code to handle creation of 'dataset' & 'trainer' folder for saving images and model
Diffstat (limited to 'face-detection')
| -rw-r--r-- | face-detection/01_face_capture_dataset.py | 3 | ||||
| -rw-r--r-- | face-detection/02_face_training.py | 3 | ||||
| -rw-r--r-- | face-detection/dataset/userdatasetgohere | 0 | ||||
| -rw-r--r-- | face-detection/trainer/trainermodelgoeshere | 0 |
4 files changed, 6 insertions, 0 deletions
diff --git a/face-detection/01_face_capture_dataset.py b/face-detection/01_face_capture_dataset.py index ef40a82..d7ac82c 100644 --- a/face-detection/01_face_capture_dataset.py +++ b/face-detection/01_face_capture_dataset.py @@ -40,6 +40,9 @@ while True: #create a bounding box across the detected face cv2.rectangle(frame, (x,y), (x+w,y+h), (255,0,0), 3) #tuple count += 1 # increment count + # if dataset folder doesnt exist create: + if not os.path.exists("dataset"): + os.makedirs("dataset") # Save the captured bounded-grayscaleimage into the datasets folder cv2.imwrite("dataset/User." + str(face_id) + '.' + str(count) + ".jpg", frameGray[y:y+h,x:x+w]) #req os # Display the original frame to the user 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 diff --git a/face-detection/dataset/userdatasetgohere b/face-detection/dataset/userdatasetgohere new file mode 100644 index 0000000..e69de29 --- /dev/null +++ b/face-detection/dataset/userdatasetgohere diff --git a/face-detection/trainer/trainermodelgoeshere b/face-detection/trainer/trainermodelgoeshere new file mode 100644 index 0000000..e69de29 --- /dev/null +++ b/face-detection/trainer/trainermodelgoeshere |