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https://issues.apache.org/jira/browse/TIKA-2322?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15968619#comment-15968619
]
ASF GitHub Bot commented on TIKA-2322:
--------------------------------------
smadha commented on a change in pull request #168: fix for TIKA-2322
contributed by msha...@usc.edu
URL: https://github.com/apache/tika/pull/168#discussion_r111530043
##########
File path:
tika-parsers/src/main/resources/org/apache/tika/parser/recognition/tf/video_util.py
##########
@@ -0,0 +1,112 @@
+#!/usr/bin/env python
+#
+# Licensed to the Apache Software Foundation (ASF) under one or more
+# contributor license agreements. See the NOTICE file distributed with
+# this work for additional information regarding copyright ownership.
+# The ASF licenses this file to You under the Apache License, Version 2.0
+# (the "License"); you may not use this file except in compliance with
+# the License. You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+import cv2
+import os
+import sys
+import ntpath
+import numpy as np
+
+def _get_image_from_array(image_array):
+ #JPG to support tensorflow
+ byte_arr = cv2.imencode(".jpg", image_array )[1]
+ return "".join(map(chr, byte_arr))
+
+def _path_leaf(path):
+ """
+ Returns file name from path. Path should not end with slash(/)
+ """
+ head, tail = ntpath.split(path)
+ return tail or ntpath.basename(head)
+
+def get_center_frame(video_path):
+ """
+ Traverse till half of video and saves center snapshot
+ @param video_path: Path to video file on system
+ """
+ cap = cv2.VideoCapture(video_path)
+
+ length = int(cap.get(cv2.cv.CV_CAP_PROP_FRAME_COUNT))
+
+ success,image = cap.read()
+ count = 0
+
+ while(success and count < length/2):
+ success,image = cap.read()
+ count += 1
+
+ return _get_image_from_array(image)
+
+def get_frames_interval(video_path, frame_interval):
+ """
+ Selects one frames after every frame_interval
+ @param video_path: Path to video file on system
+ @param frame_interval: Interval after which frame should be picked. If
frame_interval=10 then every 10th frame will be extracted
+ """
+ cap = cv2.VideoCapture(video_path)
+
+ length = int(cap.get(cv2.cv.CV_CAP_PROP_FRAME_COUNT))
+
+ success,image = cap.read()
+ count = 0
+
+ image_arr = []
+ while(success and count < length):
+ success,image = cap.read()
+ if count % frame_interval == 0:
+ image = _get_image_from_array(image )
+ image_arr.append(image)
+
+ count += 1
+
+ return image_arr
+
+def get_n_frames(video_path, num_frame):
+ """
+ Get N frames equidistant to each other in a video
+ @param video_path: Path to video file on system
+ @param num_frame: Number of frames to be extracted from video. If
num_frame=10 then 10 frames equally distant from each other will be extracted
+ """
+ cap = cv2.VideoCapture(video_path)
+
+ length = int(cap.get(cv2.cv.CV_CAP_PROP_FRAME_COUNT))
+
+ op_frame_idx = set(np.linspace(0, length - 2, num_frame, dtype=int))
+
+ success, image = cap.read()
+ count = 0
+
+ image_arr = []
+ while(success and count < length):
+ success, image = cap.read()
+ if success and count in op_frame_idx:
+
+ image = _get_image_from_array(image )
+ image_arr.append(image)
+
+ count += 1
+
+ return image_arr
+
+
+
+if __name__ == '__main__':
+ img_data =
get_center_frame("/Users/sharan/Documents/workspace/data/prep_13-28-video.mp4")
Review comment:
Oh yeah, good catch buddy. This was for testing I can remove it all together
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> Video labeling using existing ObjectRecognition
> -----------------------------------------------
>
> Key: TIKA-2322
> URL: https://issues.apache.org/jira/browse/TIKA-2322
> Project: Tika
> Issue Type: Improvement
> Components: parser
> Reporter: Madhav Sharan
> Assignee: Chris A. Mattmann
> Labels: memex
> Fix For: 1.15
>
>
> Currently TIKA supports ObjectRecognition in Images. I am proposing to extend
> this to support videos.
> Idea is -
> 1. Extract frames from video and run IncV3 to get labels for these frames.
> 2. We average confidence scores of same labels for each frame.
> 3. Return results in sorted order of confidence score.
> I am writing code for different modes of frame extractions -
> 1. Extract center image.
> 2. Extract frames after every fixed interval.
> 3. Extract N frames equally divided across video.
> We used this approach in [0]. Code in [1]
> [0] https://github.com/USCDataScience/hadoop-pot
> [1] https://github.com/USCDataScience/video-recognition
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