walsvid

name: "DSSSH"
layer {
  name: 'input-data'
  type: 'Python'
  top: 'data'
  top: 'im_info'
  top: 'gt_boxes'
  python_param {
    module: 'roi_data_layer.layer'

walsvid

#前言 由于大家都懂的, 国内使用go get的时候, 经常会各种失败, 如果有vpn的话, 打开vpn, 问题就解决了, 但vpn其实挺不灵活的.

相对来说shadowsock则灵活得多.

#解决方案 shadowsock + Privoxy

思路就是, 使用shadowsock建立一个本地sock5代理, 但因为go get 需要http代理, 所以需要使用privoxy把sock5代理转为http代理.

walsvid

# If you have Python 3 installed (which is recommended):
python3 -m pip install --upgrade pip
python3 -m pip install jupyter
# If you have Python 2 installed:
# python -m pip install --upgrade pip
# python -m pip install jupyter

# Add python2 kernel
python2 -m pip install ipykernel
python2 -m ipykernel install --user

walsvid

# Build tools:
sudo apt-get install -y build-essential cmake

# GUI
sudo apt-get install -y libgtk-3-dev

# Media I/O:
sudo apt-get install -y zlib1g-dev libjpeg-dev libwebp-dev libpng-dev libtiff5-dev libjasper-dev libopenexr-dev libgdal-dev

# Video I/O:

walsvid

name: "VGG_ILSVRC_16_layers"
layer {
  name: "data"
  type: "Data"
  include {
    phase: TRAIN
  }
 transform_param {
    crop_size: 224
    mean_value: 104

walsvid

# ***************************************************************** #
# SSH: Single Stage Headless Face Detector
# Train Prototxt
# Written by Mahyar Najibi
# ***************************************************************** #

name: "SSH"
# layer {
#   name: 'input-data'
#   type: 'Python'

walsvid

name: "VGG_ILSVRC_16_layers"
layer {
  name: 'input-data'
  type: 'Python'
  top: 'data'
  top: 'im_info'
  top: 'gt_boxes'
  python_param {
    module: 'roi_data_layer.layer'
    layer: 'RoIDataLayer'

walsvid

# Reference:
# http://blog.csdn.net/weixin_35653315/article/details/71015845

# Copyright 2017 Google LLC

# 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

#     https://www.apache.org/licenses/LICENSE-2.0

walsvid

# Capture Video from Camera
import numpy as np
import cv2

cap = cv2.VideoCapture(0)

while(True):
    # Capture frame-by-frame
    ret, frame = cap.read()

walsvid

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