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windy-afternoon's Introduction

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weihang.chen's blog

Introduction

华南理工大学本硕毕业,目前关注计算机视觉相关研究。曾经在腾讯QQ邮箱、腾讯AI Lab实习,现就职于深圳大疆创新。

博客记录工作学习生活中的点滴,既是积累,也是备忘。不定期更新,欢迎Star

推荐阅读

Paper List

  • Jianming Lv, Weihang Chen, Qing Li, Can Yang. Unsupervised Cross-dataset person Re-identification by Transfer Learning of Spatial-temporal Patterns, CVPR 2018. (CCF A类会议) [paper] [code]
  • Jianming Lv, Jiajie Zhong, Weihang Chen, Qinzhe Xiao, Zhenguo Yang and Qing Li. Homepage Augmentation by Predicting Links in Heterogenous Networks. CIKM 2018. (CCF B类会议)

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windy-afternoon's Issues

通过您的方式修改bug已经行不通了

您好,我也遇到了NCSDK build graph的BUG,通过您文中说的修改SDK代码中的/usr/local/bin/ncsdk/Models/NetworkStage.py,在第85行后面添加:

if ''_new' in name:
self.alias.append(name[:-4])
首先会报错格式错误,然后我改为了
if '_new' in name:
self.alias.append(name[:-4])
再次运行会提示:
AttributeError: 'NetworkStage' object has no attribute 'alias'

TypeError: 'numpy.float16' object cannot be interpreted as an integer

运行识别时出错了:
pi@JBLPI0001:~/workspace/ncs_detection $ python3 ncs_detection.py
mkdir: cannot create directory ‘r10_tmp’: File exists
rm: cannot remove 'r10_tmp/*': No such file or directory
[INFO] finding NCS devices...
[INFO] found 1 devices. device0 will be used. opening device0...
[INFO] loading the graph file into RPi memory...
[INFO] allocating the graph on the NCS...
data/mscoco_label_map.pbtxt 1
######################### item {
name: "/m/01g317"
id: 1
display_name: "new"
}
item {
name: "/m/0199g"
id: 2
display_name: "bicycle"
}
item {
name: "/m/0k4j"
id: 3
display_name: "car"
}
item {
name: "/m/04_sv"
id: 4
display_name: "motorcycle"
}
item {
name: "/m/05czz6l"
id: 5
display_name: "airplane"
}
item {
name: "/m/01bjv"
id: 6
display_name: "bus"
}
item {
name: "/m/07jdr"
id: 7
display_name: "train"
}
item {
name: "/m/07r04"
id: 8
display_name: "truck"
}
item {
name: "/m/019jd"
id: 9
display_name: "boat"
}
item {
name: "/m/015qff"
id: 10
display_name: "traffic light"
}
item {
name: "/m/01pns0"
id: 11
display_name: "fire hydrant"
}
item {
name: "/m/02pv19"
id: 13
display_name: "stop sign"
}
item {
name: "/m/015qbp"
id: 14
display_name: "parking meter"
}
item {
name: "/m/0cvnqh"
id: 15
display_name: "bench"
}
item {
name: "/m/015p6"
id: 16
display_name: "bird"
}
item {
name: "/m/01yrx"
id: 17
display_name: "cat"
}
item {
name: "/m/0bt9lr"
id: 18
display_name: "dog"
}
item {
name: "/m/03k3r"
id: 19
display_name: "horse"
}
item {
name: "/m/07bgp"
id: 20
display_name: "sheep"
}
item {
name: "/m/01xq0k1"
id: 21
display_name: "cow"
}
item {
name: "/m/0bwd_0j"
id: 22
display_name: "elephant"
}
item {
name: "/m/01dws"
id: 23
display_name: "bear"
}
item {
name: "/m/0898b"
id: 24
display_name: "zebra"
}
item {
name: "/m/03bk1"
id: 25
display_name: "giraffe"
}
item {
name: "/m/01940j"
id: 27
display_name: "backpack"
}
item {
name: "/m/0hnnb"
id: 28
display_name: "umbrella"
}
item {
name: "/m/080hkjn"
id: 31
display_name: "handbag"
}
item {
name: "/m/01rkbr"
id: 32
display_name: "tie"
}
item {
name: "/m/01s55n"
id: 33
display_name: "suitcase"
}
item {
name: "/m/02wmf"
id: 34
display_name: "frisbee"
}
item {
name: "/m/071p9"
id: 35
display_name: "skis"
}
item {
name: "/m/06__v"
id: 36
display_name: "snowboard"
}
item {
name: "/m/018xm"
id: 37
display_name: "sports ball"
}
item {
name: "/m/02zt3"
id: 38
display_name: "kite"
}
item {
name: "/m/03g8mr"
id: 39
display_name: "baseball bat"
}
item {
name: "/m/03grzl"
id: 40
display_name: "baseball glove"
}
item {
name: "/m/06_fw"
id: 41
display_name: "skateboard"
}
item {
name: "/m/019w40"
id: 42
display_name: "surfboard"
}
item {
name: "/m/0dv9c"
id: 43
display_name: "tennis racket"
}
item {
name: "/m/04dr76w"
id: 44
display_name: "bottle"
}
item {
name: "/m/09tvcd"
id: 46
display_name: "wine glass"
}
item {
name: "/m/08gqpm"
id: 47
display_name: "cup"
}
item {
name: "/m/0dt3t"
id: 48
display_name: "fork"
}
item {
name: "/m/04ctx"
id: 49
display_name: "knife"
}
item {
name: "/m/0cmx8"
id: 50
display_name: "spoon"
}
item {
name: "/m/04kkgm"
id: 51
display_name: "bowl"
}
item {
name: "/m/09qck"
id: 52
display_name: "banana"
}
item {
name: "/m/014j1m"
id: 53
display_name: "apple"
}
item {
name: "/m/0l515"
id: 54
display_name: "sandwich"
}
item {
name: "/m/0cyhj_"
id: 55
display_name: "orange"
}
item {
name: "/m/0hkxq"
id: 56
display_name: "broccoli"
}
item {
name: "/m/0fj52s"
id: 57
display_name: "carrot"
}
item {
name: "/m/01b9xk"
id: 58
display_name: "hot dog"
}
item {
name: "/m/0663v"
id: 59
display_name: "pizza"
}
item {
name: "/m/0jy4k"
id: 60
display_name: "donut"
}
item {
name: "/m/0fszt"
id: 61
display_name: "cake"
}
item {
name: "/m/01mzpv"
id: 62
display_name: "chair"
}
item {
name: "/m/02crq1"
id: 63
display_name: "couch"
}
item {
name: "/m/03fp41"
id: 64
display_name: "potted plant"
}
item {
name: "/m/03ssj5"
id: 65
display_name: "bed"
}
item {
name: "/m/04bcr3"
id: 67
display_name: "dining table"
}
item {
name: "/m/09g1w"
id: 70
display_name: "toilet"
}
item {
name: "/m/07c52"
id: 72
display_name: "tv"
}
item {
name: "/m/01c648"
id: 73
display_name: "laptop"
}
item {
name: "/m/020lf"
id: 74
display_name: "mouse"
}
item {
name: "/m/0qjjc"
id: 75
display_name: "remote"
}
item {
name: "/m/01m2v"
id: 76
display_name: "keyboard"
}
item {
name: "/m/050k8"
id: 77
display_name: "cell phone"
}
item {
name: "/m/0fx9l"
id: 78
display_name: "microwave"
}
item {
name: "/m/029bxz"
id: 79
display_name: "oven"
}
item {
name: "/m/01k6s3"
id: 80
display_name: "toaster"
}
item {
name: "/m/0130jx"
id: 81
display_name: "sink"
}
item {
name: "/m/040b_t"
id: 82
display_name: "refrigerator"
}
item {
name: "/m/0bt_c3"
id: 84
display_name: "book"
}
item {
name: "/m/01x3z"
id: 85
display_name: "clock"
}
item {
name: "/m/02s195"
id: 86
display_name: "vase"
}
item {
name: "/m/01lsmm"
id: 87
display_name: "scissors"
}
item {
name: "/m/0kmg4"
id: 88
display_name: "teddy bear"
}
item {
name: "/m/03wvsk"
id: 89
display_name: "hair drier"
}
item {
name: "/m/012xff"
id: 90
display_name: "toothbrush"
}

######################### [{'id': 1, 'name': 'new'}] ######################### {1: {'id': 1, 'name': 'new'}}
Traceback (most recent call last):
File "ncs_detection.py", line 173, in
count_for_video_ncs(img_dir, start_index, end_index)
File "ncs_detection.py", line 137, in count_for_video_ncs
predictions = predict(image_np, detection_graph)
File "ncs_detection.py", line 30, in predict
for box_index in range(num_valid_boxes):
TypeError: 'numpy.float16' object cannot be interpreted as an integer
pi@JBLPI0001:~/workspace/ncs_detection $

关于您博客构建的一些疑问

博主您好,我想仿造您的博客来搭建一个wiki,但是具体流程我有点没看懂😢
我注意到您的这两个网站对应的页面不一样:
ahangchen.github.io 好像是直接由gitbook生成的页面
blog.cweihang.io 好像是您自己搭建的页面
请问您是怎么实现把一种页面转换为另一种页面的呢。
期望能得到您的回复

打个广告

2017原创IT博主全网评选
http://www.itbang.me/goVote/254
想要奖品(好像投票的人很少所以有希望…)拿不到手机拿手环也行
—————投票方法分割线———————
投票还是有点流程的,最好网页打开上面的链接,用手机号注册,然后登录,回到投票界面,给我(梦里茶)投一票(emmm每人有三票但还是只给我投吧哈哈哈),同一个人只能投一票所以投完就没啥事了。

merge_bn.py AttributeError: 'collections.OrderedDict' object has no attribute 'iterkeys'

Hi ahangchen,
I install ncs(https://github.com/movidius/ncsdk),the ssd-caffe path is /opt/movidius/ssd-caffe/.
When i run merge_bn.py file,it's output is AttributeError: 'collections.OrderedDict' object has no attribute 'iterkeys'.how to tackle this problem?
Thanks in advance.

#####################################
I0526 14:59:43.139652 7526 net.cpp:228] conv3 does not need backward computation.
I0526 14:59:43.139660 7526 net.cpp:228] conv3/dw/relu does not need backward computation.
I0526 14:59:43.139668 7526 net.cpp:228] conv3/dw does not need backward computation.
I0526 14:59:43.139673 7526 net.cpp:228] conv2/relu does not need backward computation.
I0526 14:59:43.139681 7526 net.cpp:228] conv2 does not need backward computation.
I0526 14:59:43.139706 7526 net.cpp:228] conv2/dw/relu does not need backward computation.
I0526 14:59:43.139744 7526 net.cpp:228] conv2/dw does not need backward computation.
I0526 14:59:43.139750 7526 net.cpp:228] conv1/relu does not need backward computation.
I0526 14:59:43.139756 7526 net.cpp:228] conv1 does not need backward computation.
I0526 14:59:43.139761 7526 net.cpp:228] conv1/dw/relu does not need backward computation.
I0526 14:59:43.139766 7526 net.cpp:228] conv1/dw does not need backward computation.
I0526 14:59:43.139771 7526 net.cpp:228] conv0/relu does not need backward computation.
I0526 14:59:43.139776 7526 net.cpp:228] conv0 does not need backward computation.
I0526 14:59:43.139782 7526 net.cpp:228] data_input_0_split does not need backward computation.
I0526 14:59:43.139787 7526 net.cpp:228] input does not need backward computation.
I0526 14:59:43.139792 7526 net.cpp:270] This network produces output detection_out
I0526 14:59:43.139940 7526 net.cpp:283] Network initialization done.
Traceback (most recent call last):
File "merge_bn.py", line 62, in
merge_bn(net, net_deploy)
File "merge_bn.py", line 21, in merge_bn
for key in net.params.iterkeys():
AttributeError: 'collections.OrderedDict' object has no attribute 'iterkeys'
michael@ubt1604:~/workspace/MobileNet-SSD$

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