{"action":"closed","issue":{"url":"https://api.github.com/repos/carminacodre/ModelQuantization/issues/1","repository_url":"https://api.github.com/repos/carminacodre/ModelQuantization","labels_url":"https://api.github.com/repos/carminacodre/ModelQuantization/issues/1/labels{/name}","comments_url":"https://api.github.com/repos/carminacodre/ModelQuantization/issues/1/comments","events_url":"https://api.github.com/repos/carminacodre/ModelQuantization/issues/1/events","html_url":"https://github.com/carminacodre/ModelQuantization/issues/1","id":340951616,"node_id":"MDU6SXNzdWUzNDA5NTE2MTY=","number":1,"title":"How is your model's performance after quantization?","user":{"login":"David-Lee-1990","id":29653610,"node_id":"MDQ6VXNlcjI5NjUzNjEw","avatar_url":"https://avatars2.githubusercontent.com/u/29653610?v=4","gravatar_id":"","url":"https://api.github.com/users/David-Lee-1990","html_url":"https://github.com/David-Lee-1990","followers_url":"https://api.github.com/users/David-Lee-1990/followers","following_url":"https://api.github.com/users/David-Lee-1990/following{/other_user}","gists_url":"https://api.github.com/users/David-Lee-1990/gists{/gist_id}","starred_url":"https://api.github.com/users/David-Lee-1990/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/David-Lee-1990/subscriptions","organizations_url":"https://api.github.com/users/David-Lee-1990/orgs","repos_url":"https://api.github.com/users/David-Lee-1990/repos","events_url":"https://api.github.com/users/David-Lee-1990/events{/privacy}","received_events_url":"https://api.github.com/users/David-Lee-1990/received_events","type":"User","site_admin":false},"labels":[],"state":"closed","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":1,"created_at":"2018-07-13T09:42:10Z","updated_at":"2018-09-04T09:09:07Z","closed_at":"2018-09-04T09:09:07Z","author_association":"NONE","body":"I use the quantization method to my object detection model trained by tensorflow. \r\n**My system is Mac os 10.13.6 with tensorflow 1.8.**\r\n**The speed of the original pb graph model is 18.30 FPS. And the speed of the quantization model is 18.60 FPS.** \r\nI only use the following function.\r\n`transform_graph(path_to_model=\"models/ssd_inception_v2_coco.pb\",\r\n                save_dir=\"models\",\r\n                file_name =\"ssd_inception_v2_coco_transformed_2.pb\",\r\n                inputs=\"image_tensor:0\",\r\n                outputs=['detection_boxes:0', 'detection_scores:0','detection_classes:0', 'num_detections:0'],\r\n                transforms=optimize_quantize_weights_trans)`\r\n How is your model's performance? and how to make it better?"}}
{"actor":{"display_login":"carminacodre"}}