印刷电路板母版微小缺陷检测
所属分类：其他
开发工具：Python
文件大小：50797KB
下载次数：9
上传日期：2020-07-03 10:07:23
上 传 者：
hahahahha23324
说明： 基于Python的PCB板微小缺陷检测，检测工业PCB母版上的微小瑕疵。
(Micro-defect detection of PCB based on Python)
文件列表:
01_missing_hole_01.jpg (328117, 2019-11-16)
04_mouse_bite_10.jpg (184341, 2019-11-16)
a(missinghole).png (31542, 2019-11-16)
data (0, 2020-07-03)
data\__init__.py (0, 2019-11-16)
data\io (0, 2020-07-03)
data\io\__init__.py (0, 2019-11-16)
data\io\convert_data_to_tfrecord.py (4560, 2019-11-16)
data\io\divide_data.py (1745, 2019-11-16)
data\io\image_preprocess.py (3420, 2019-11-16)
data\io\read_tfrecord.py (4341, 2019-11-16)
data\io\test.ttf (74452, 2019-11-16)
data\lib_coco (0, 2020-07-03)
data\lib_coco\__init__.py (0, 2019-11-16)
data\lib_coco\common (0, 2020-07-03)
data\lib_coco\common\gason.cpp (9540, 2019-11-16)
data\lib_coco\common\gason.h (3483, 2019-11-16)
data\lib_coco\common\maskApi.c (8249, 2019-11-16)
data\lib_coco\common\maskApi.h (2176, 2019-11-16)
data\lib_coco\get_coco_next_batch.py (2110, 2019-11-16)
data\lib_coco\PythonAPI (0, 2020-07-03)
data\lib_coco\PythonAPI\__init__.py (0, 2019-11-16)
data\lib_coco\PythonAPI\Makefile (199, 2019-11-16)
data\lib_coco\PythonAPI\pycocoDemo.ipynb (1790308, 2019-11-16)
data\lib_coco\PythonAPI\pycocoEvalDemo.ipynb (4456, 2019-11-16)
data\lib_coco\PythonAPI\pycocotools (0, 2020-07-03)
data\lib_coco\PythonAPI\pycocotools\__init__.py (21, 2019-11-16)
data\lib_coco\PythonAPI\pycocotools\_mask.c (685586, 2019-11-16)
data\lib_coco\PythonAPI\pycocotools\_mask.pyx (11440, 2019-11-16)
data\lib_coco\PythonAPI\pycocotools\coco.py (18386, 2019-11-16)
data\lib_coco\PythonAPI\pycocotools\cocoeval.py (24143, 2019-11-16)
data\lib_coco\PythonAPI\pycocotools\mask.py (4591, 2019-11-16)
data\lib_coco\PythonAPI\setup.py (762, 2019-11-16)
data\pretrained_weights (0, 2020-07-03)
data\pretrained_weights\mobilenet (0, 2020-07-03)
data\pretrained_weights\resnet_v1_101.ckpt (59, 2019-11-16)
data\tfrecord (0, 2020-07-03)
data\tfrecord\pcb_train.tfrecord (78, 2019-11-16)
... ...
Please download [resnet50_v1](http://download.tensorflow.org/models/resnet_v1_50_2016_08_28.tar.gz)[resnet101_v1](http://download.tensorflow.org/models/resnet_v1_101_2016_08_28.tar.gz) pre-trained models on Imagenet, put it to data/pretrained_weights.
近期下载者：
相关文件：
收藏者：