AlejoCR

AlejoCR

from __future__ import absolute_import
from __future__ import division
from __future__ import print_function

import argparse
import collections
from datetime import datetime
import hashlib
import os.path
import random

AlejoCR

# Copyright 2017 The TensorFlow Authors. All Rights Reserved.
#
# Licensed 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,

AlejoCR

import cv2
from PIL import Image

  video_capture = cv2.VideoCapture(get_jetson_gstreamer_source(), cv2.CAP_GSTREAMER)
  
  if not (video_capture.isOpened()):
    print("Could not open video device")
  
  #To set the resolution

AlejoCR

==21650== NVPROF is profiling process 21650, command: /root/.virtualenvs/cv/bin/python -m cProfile -o out.prof retrain/label_image.py --graph=retrain/output_graph.pb --labels=retrain/output_labels.txt --input_layer=Placeholder --output_layer=final_result --image=test-images/lego1.jpeg
==21650== Warning: Unified Memory Profiling is not supported on the underlying platform. System requirements for unified memory can be found at: http://docs.nvidia.com/cuda/cuda-c-programming-guide/index.html#um-requirements
==21650== Profiling application: /root/.virtualenvs/cv/bin/python -m cProfile -o out.prof retrain/label_image.py --graph=retrain/output_graph.pb --labels=retrain/output_labels.txt --input_layer=Placeholder --output_layer=final_result --image=test-images/lego1.jpeg
==21650== Profiling result:
            Type  Time(%)      Time     Calls       Avg       Min       Max  Name
 GPU activities:   58.41%  815.49ms       128  6.3710ms  789.76us  25.076ms  maxwell_gcgemm_64x64_nt
                    5.90%  82.383ms