config.py

import imagehash 
 
# -------------- Initializations --------------------- 
 
DOWNLOAD_DIR = "downloads" 
 
FRAME_BUFFER_HISTORY = 15 # Length of the frame buffer history to model background. 
DEC_THRESH = ( 
 0.75 # Threshold value, above which it is marked foreground, else background. 
) 
DIST_THRESH = 100 # Threshold on the squared distance between the pixel and the sample to decide whether a pixel is close to that sample. 
 
MIN_PERCENT = ( 
 0.15 # %age threshold to check if there is motion across subsequent frames 
) 
MAX_PERCENT = ( 
 0.01 # %age threshold to determine if the motion across frames has stopped. 
) 
 
# Post processing 
 
SIM_THRESHOLD = ( 
 96 # Minimum similarity threshold (in percent) to consider 2 images to be similar 
) 
 
HASH_SIZE = 12 # Hash size to use for image hashing 
 
HASH_FUNC = "dhash" # Hash function to use for image hashing 
 
HASH_BUFFER_HISTORY = 5 # Number of history images used to find out duplicate image 
 
HASH_FUNC_DICT = { 
 "dhash": imagehash.dhash, 
 "phash": imagehash.phash, 
 "ahash": imagehash.average_hash, 
 "difference hashing": imagehash.dhash, 
 "perceptual hashing": imagehash.phash, 
 "average hashing": imagehash.average_hash, 
} 
 
# ----------------------------------------------------