tongue_recognization_based_on_tensorflow_object_detection_api

• Fine-tune models like ssd_mobilenet、faster_rcnn models in COCO dataset for detecting tongues
• All elementary codes are from TensorFlow Object Detection API
• The Chinese version tutorial of my little project is here https://mp.weixin.qq.com/s?__biz=MzIyMjE5Njk1Mw==&mid=2651247687&idx=1&sn=737d94e4503d1bc0585137aea49f922d&scene=19#wechat_redirect
• 'tongue_inference_graph_latest.pb' is the latest model I trained, so you can use it for tongue detection directly
• the folders 'faster_rcnn_inception_resnet_v2_atrous_coco_11_06_2017' and 'ssd_mobilenet_v1_coco_11_06_2017' are empty, you have to download the inference graph respectively into these folders
• The dataset is little, you can follow the link above to enrich your dataset by labelImge tool, then rebuild .csv and .record files

DevEvn Python-v3(3.6)：

• tensorflow==1.9.0

Hardware Equipment：

• 4 core CPU
• 24gb memory
• 11gb video memory
• 484gb/s bandwidth of video memory
• 11.34tflop (single precision)
• 2T hard disk

Result：