help="maximum of frames to sample from one video",
type=int,
default=30
)
args = parser.parse_args()
del_upper = 100
FRAMERATE = args.fr
OUT_DIR = args.out
MAX_FRAMES = args.max
print("READ DATA FROM ", args.data)
print("OUTPUT DATA IN ", args.out)
print("SELECT FRAMES AT", args.fr, "Hz")
print("SELECT MAXIMUM OF", args.max, "frames")
actual_names, labels = get_paths(args.json)
# manually add the ones which I know are in the data
files_to_process, labs_to_process = get_processing_info(
args.data, actual_names, labels
)
makedirs(OUT_DIR)
# RUN - Iterate over videos
for i in range(len(files_to_process)): # 1,2): #
fp = files_to_process[i]
fn = fp.split(os.sep)[-1]
cap = cv2.VideoCapture(fp) # capturing the video from the given path
# frame rate
n_frames = cap.get(7)
frameRate = cap.get(5)
every_x_image = int(frameRate / FRAMERATE)
parser.add_argument('-max',
help="maximum of frames to sample from one video",
type=int,
default=30)
args = parser.parse_args()
del_upper = 100
FRAMERATE = args.fr
OUT_DIR = args.out
MAX_FRAMES = args.max
print("READ DATA FROM ", args.data)
print("OUTPUT DATA IN ", args.out)
print("SELECT FRAMES AT", args.fr, "Hz")
print("SELECT MAXIMUM OF", args.max, "frames")
actual_names, labels = get_paths(args.csv)
# manually add the ones which I know are in the data
files_to_process, labs_to_process = get_processing_info(
args.data, actual_names, labels)
makedirs(OUT_DIR)
# RUN - Iterate over videos
for i in range(len(files_to_process)): # 1,2): #
fp = files_to_process[i]
fn = fp.split(os.sep)[-1]
cap = cv2.VideoCapture(fp) # capturing the video from the given path
# frame rate
n_frames = cap.get(7)
frameRate = cap.get(5)
every_x_image = int(frameRate / FRAMERATE)
out_path = os.path.join(OUT_DIR, label_to_dir(labs_to_process[i]))