Automated-Number-Plate-Recognition
所属分类：模式识别(视觉/语音等)
开发工具：Python
文件大小：0KB
下载次数：0
上传日期：2019-09-19 17:24:55
上 传 者：
sh-1993
说明： 使用更快的RCNN实现了汽车和牌照的分割，准确率为97%，并使用PyTesseract模型对n...，
(Car and Licence Plate Segmentation using Faster RCNN was achieved with 97% accuracy and PyTesseract Model was used to perform OCR on the number plate.)
文件列表:
Car/ (0, 2019-09-19)
Car/1 (1).jpg (38369, 2019-09-19)
Car/1 (10).jpg (61662, 2019-09-19)
Car/1 (11).jpg (32702, 2019-09-19)
Car/1 (2).jpg (1015621, 2019-09-19)
Car/1 (3).jpg (430036, 2019-09-19)
Car/1 (4).jpg (179558, 2019-09-19)
Car/1 (5).jpg (67297, 2019-09-19)
Car/1 (6).jpg (1313540, 2019-09-19)
Car/1 (7).jpg (3804289, 2019-09-19)
Car/1 (8).jpg (352371, 2019-09-19)
Car/1 (9).jpg (70709, 2019-09-19)
Car/faster_rcnn_inception_v2_coco.config (3737, 2019-09-19)
Car/generate_tfrecord.bat (459, 2019-09-19)
Car/generate_tfrecord.py (3628, 2019-09-19)
Car/google_image_scraping.txt (175, 2019-09-19)
Car/labelmap.pbtxt (35, 2019-09-19)
Car/object_detection_car.py (4034, 2019-09-19)
Car/train.py (6826, 2019-09-19)
Car/training.txt (124, 2019-09-19)
Car/xml_to_csv.bat (27, 2019-09-19)
Car/xml_to_csv.py (1234, 2019-09-19)
Number Plate/ (0, 2019-09-19)
Number Plate/1 (1).jpg (38369, 2019-09-19)
Number Plate/1 (10).jpg (61662, 2019-09-19)
Number Plate/1 (11).jpg (32702, 2019-09-19)
Number Plate/1 (2).jpg (1015621, 2019-09-19)
Number Plate/1 (3).jpg (430036, 2019-09-19)
Number Plate/1 (4).jpg (179558, 2019-09-19)
Number Plate/1 (5).jpg (67297, 2019-09-19)
Number Plate/1 (6).jpg (1313540, 2019-09-19)
Number Plate/1 (7).jpg (3804289, 2019-09-19)
Number Plate/1 (8).jpg (352371, 2019-09-19)
Number Plate/1 (9).jpg (70709, 2019-09-19)
Number Plate/faster_rcnn_inception_v2_coco.config (3737, 2019-09-19)
Number Plate/generate_tfrecord.bat (459, 2019-09-19)
Number Plate/generate_tfrecord.py (3628, 2019-09-19)
Number Plate/google_image_scraping.txt (175, 2019-09-19)
Number Plate/labelmap.pbtxt (34, 2019-09-19)
Number Plate/object_detection_lp.py (4200, 2019-09-19)
... ...
# Automatic-Number-Plate-Recognition
Car and Licence Plate Segmentation using Faster RCNN was achieved with 97% accuracy and PyTesseract Model was used to perform OCR on the number plate.
近期下载者：
相关文件：
收藏者：