File size: 966 Bytes
099d157 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 | import sys
import os
import traceback
with open("win_debug.log", "w") as f:
f.write("1 - Start\n")
f.flush()
try:
with open("win_debug.log", "a") as f: f.write("2 - Imports...\n"); f.flush()
import numpy as np
with open("win_debug.log", "a") as f: f.write("3 - Importing Face Model...\n"); f.flush()
sys.path.append("c:/Users/Vasanth kumar/OneDrive/Desktop/new_clg_project/backend")
from models.face_model import predict_emotion
with open("win_debug.log", "a") as f: f.write("4 - Generating Zero Frame...\n"); f.flush()
frame = np.zeros((480, 640, 3), dtype=np.uint8)
with open("win_debug.log", "a") as f: f.write("5 - Executing predict_emotion...\n"); f.flush()
res = predict_emotion(frame, [])
with open("win_debug.log", "a") as f: f.write(f"6 - Done: {res}\n"); f.flush()
except Exception as e:
with open("win_debug.log", "a") as f: f.write("ERROR!\n" + traceback.format_exc()); f.flush()
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