change to cli_proc

1 files changed, 0 insertions, 73 deletions

diff --git a/megapixels/commands/cv/videos_to_frames.py b/megapixels/commands/cv/videos_to_frames.py
deleted file mode 100644
index 0b56c46a..00000000
--- a/megapixels/commands/cv/videos_to_frames.py
+++ /dev/null
@@ -1,73 +0,0 @@
-from glob import glob
-import os
-from os.path import join
-from pathlib import Path
-
-import click
-
-from app.settings import types
-from app.utils import click_utils
-from app.settings import app_cfg as cfg
-from app.utils import logger_utils
-
-import dlib
-import pandas as pd
-from PIL import Image, ImageOps, ImageFilter
-from app.utils import file_utils, im_utils
-
-
-log = logger_utils.Logger.getLogger()
-
-@click.command()
-@click.option('-i', '--input', 'opt_fp_in', required=True,
-  help='Input directory')
-@click.option('-o', '--output', 'opt_fp_out', required=True,
-  help='Output directory')
-@click.option('--size', 'opt_size', default=(320, 240),
-  help='Inference size for face detection' )
-@click.option('--interval', 'opt_frame_interval', default=20,
-  help='Number of frames before saving next face')
-@click.pass_context
-def cli(ctx, opt_fp_in, opt_fp_out, opt_size, opt_frame_interval):
-  """Converts videos to frames with faces"""
-
-  # -------------------------------------------------
-  # process  
-  
-  from tqdm import tqdm
-  import cv2 as cv
-  from tqdm import tqdm
-  from app.processors import face_detector
-  
-  detector = face_detector.DetectorDLIBCNN()
-
-  # get file list
-  fp_videos = glob(join(opt_fp_in, '*.mp4'))
-  fp_videos += glob(join(opt_fp_in, '*.webm'))
-  fp_videos += glob(join(opt_fp_in, '*.mkv'))
-  
-  frame_interval_count = 0
-  frame_count = 0
-
-  file_utils.mkdirs(opt_fp_out)
-
-  for fp_video in tqdm(fp_videos):
-
-    video = cv.VideoCapture(fp_video)
-    
-    while video.isOpened():
-      res, frame = video.read()
-      if not res:
-        break
-
-      frame_count += 1  # for naming
-      frame_interval_count += 1  # for interval
-      
-      bboxes = detector.detect(frame, opt_size=opt_size, opt_pyramids=0)
-      if len(bboxes) > 0 and frame_interval_count >= opt_frame_interval:
-        # save frame
-        fname = file_utils.zpad(frame_count)
-        fp_frame = join(opt_fp_out, '{}_{}.jpg'.format(Path(fp_video).stem, fname))
-        cv.imwrite(fp_frame, frame)
-        frame_interval_count = 0
-