|
5 | 5 | "colab": { |
6 | 6 | "provenance": [], |
7 | 7 | "mount_file_id":"1YJfEK8zha4PfUk2yP9y-XbO4vtmn83gE", |
8 | | -"authorship_tag":"ABX9TyOEtdKbdYSy497U7kO4OScE", |
| 8 | +"authorship_tag":"ABX9TyOxdY25CPapUx8uMRKR6IDa", |
9 | 9 | "include_colab_link":true |
10 | 10 | }, |
11 | 11 | "kernelspec": { |
|
173 | 173 | " # Calculates the angles the exercise requires (determines necessity if weight value signals its needed)\n", |
174 | 174 | " # Compares the calculated angle with the min-max of the exercise\n", |
175 | 175 | " def feedback(self, exercise):\n", |
176 | | -" with open(f'/content/drive/MyDrive/Exercise App Resources/CSV Files/{exercise}.csv') as anglefile:\n", |
| 176 | +" with open(f'/content/drive/MyDrive/Fit Form AI Resources/CSV Files/{exercise}.csv') as anglefile:\n", |
177 | 177 | " anglereader = csv.reader(anglefile)\n", |
178 | 178 | " for row in anglereader:\n", |
179 | 179 | " # First check to see if you should calculate the angle\n", |
|
316 | 316 | { |
317 | 317 | "cell_type":"code", |
318 | 318 | "source": [ |
319 | | -"model_path = f'/content/drive/MyDrive/Exercise App Resources/pose_landmarker_{input(\"What model to use?\")}.task'" |
| 319 | +"model_path = f'/content/drive/MyDrive/Fit Form AI Resources/pose_landmarker_{input(\"What model to use?\")}.task'" |
320 | 320 | ], |
321 | 321 | "metadata": { |
322 | 322 | "id":"Zng2DvUJcJjc", |
|
370 | 370 | "PoseLandmarkerResult = vision.PoseLandmarkerResult # Stores result from model\n", |
371 | 371 | "out_video = None\n", |
372 | 372 | "if record:\n", |
373 | | -" out_video = cv.VideoWriter('/content/drive/MyDrive/Exercise App Resources/Videos/' + time.asctime(time.localtime()) + '.mp4',cv.VideoWriter_fourcc(*'DIVX'), 24, (640, 480))\n", |
| 373 | +" out_video = cv.VideoWriter('/content/drive/MyDrive/Fit Form AI Resources/Videos/' + time.asctime(time.localtime()) + '.mp4',cv.VideoWriter_fourcc(*'DIVX'), 24, (640, 480))\n", |
374 | 374 | "landmarks_list = []\n", |
375 | 375 | "feedback_list = [\"\"]\n", |
376 | 376 | "selected_exercise = input(\"What exercise are you tracking?\\n\")\n", |
|