使用postman测试报错

Question

使用postman测试报错

grey27 opened this issue 5 years ago · comments

John · Answer 1 · Sun Aug 18 2019 21:19:06 GMT+0800 (China Standard Time)

在项目根目录下新建一个名为test的文件夹即可

John · Answer 2 · Mon Oct 07 2019 13:39:48 GMT+0800 (China Standard Time)

服务已经正常启动，使用post方法访问，访问地址：http://172.17.0.1:8070/invoice-ocr ,传入key值：file，你看看app.py文件书写的api接口便知。 | | 追梦者邮箱：18010149119@163.com | 签名由网易邮箱大师定制在2019年10月03日 20:35，quuhua911 写道：弱弱问一下这样算装好了吗: postman 怎么测试? Text detect engine:keras 2019-10-03 20:31:16.997612: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1511] Adding visible gpu devices: 0 2019-10-03 20:31:16.997643: I tensorflow/core/common_runtime/gpu/gpu_device.cc:982] Device interconnect StreamExecutor with strength 1 edge matrix: 2019-10-03 20:31:16.997649: I tensorflow/core/common_runtime/gpu/gpu_device.cc:988] 0 2019-10-03 20:31:16.997653: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1001] 0: N 2019-10-03 20:31:16.997694: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1115] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 8894 MB memory) -> physical GPU (device: 0, name: GeForce GTX 1080 Ti, pci bus id: 0000:01:00.0, compute capability: 6.1) Text detect engine:keras 2019-10-03 20:31:22.809804: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1511] Adding visible gpu devices: 0 2019-10-03 20:31:22.809835: I tensorflow/core/common_runtime/gpu/gpu_device.cc:982] Device interconnect StreamExecutor with strength 1 edge matrix: 2019-10-03 20:31:22.809841: I tensorflow/core/common_runtime/gpu/gpu_device.cc:988] 0 2019-10-03 20:31:22.809845: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1001] 0: N 2019-10-03 20:31:22.809886: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1115] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 8894 MB memory) -> physical GPU (device: 0, name: GeForce GTX 1080 Ti, pci bus id: 0000:01:00.0, compute capability: 6.1) Text detect engine:keras 2019-10-03 20:31:29.346093: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1511] Adding visible gpu devices: 0 2019-10-03 20:31:29.346124: I tensorflow/core/common_runtime/gpu/gpu_device.cc:982] Device interconnect StreamExecutor with strength 1 edge matrix: 2019-10-03 20:31:29.346130: I tensorflow/core/common_runtime/gpu/gpu_device.cc:988] 0 2019-10-03 20:31:29.346133: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1001] 0: N 2019-10-03 20:31:29.346175: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1115] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 8894 MB memory) -> physical GPU (device: 0, name: GeForce GTX 1080 Ti, pci bus id: 0000:01:00.0, compute capability: 6.1) Serving Flask app "app" (lazy loading) Environment: production WARNING: This is a development server. Do not use it in a production deployment. Use a production WSGI server instead. Debug mode: off Running on http://172.17.0.1:8070/ (Press CTRL+C to quit) 192.168.0.100 - - [03/Oct/2019 20:32:04] "GET / HTTP/1.1" 404 - — You are receiving this because you commented. Reply to this email directly, view it on GitHub, or mute the thread.

John · Answer 3 · Mon Oct 07 2019 15:07:59 GMT+0800 (China Standard Time)

你使用的是get的方法，请切换至post方法 | | 追梦者邮箱：18010149119@163.com | 签名由网易邮箱大师定制在2019年10月07日 15:02，quuhua911 写道：服务已经正常启动，使用post方法访问，访问地址：http://172.17.0.1:8070/invoice-ocr ,传入key值：file，你看看app.py文件书写的api接口便知。回复 : 按照你的建议填好后,还是报"请求参数错误"具体见截图,能否请您再指点一下,还需要修改哪里? 2019-10-07 14-56-08 的屏幕截图 9-10-03 20:31:16.997612: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1511] Adding visible gpu devices: 0 2019-10-03 20:31:16.997643: I tensorflow/core/common_runtime/gpu/gpu_device.cc:982] Device interconnect StreamExecutor with strength 1 edge matrix: 2019-10-03 20:31:16.997649: I tensorflow/core/common_runtime/gpu/gpu_device.cc:988] 0 2019-10-03 20:31:16.997653: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1001] 0: N 2019-10-03 20:31:16.997694: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1115] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 8894 MB memory) -> physical GPU (device: 0, name: GeForce GTX 1080 Ti, pci bus id: 0000:01:00.0, compute capability: 6.1) Text detect engine:keras 2019-10-03 20:31:22.809804: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1511] Adding visible gpu devices: 0 2019-10-03 20:31:22.809835: I tensorflow/core/common_runtime/gpu/gpu_device.cc:982] Device interconnect StreamExecutor with strength 1 edge matrix: 2019-10-03 20:31:22.809841: I tensorflow/core/common_runtime/gpu/gpu_device.cc:988] 0 2019-10-03 20:31:22.809845: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1001] 0: N 2019-10-03 20:31:22.809886: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1115] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 8894 MB memory) -> physical GPU (device: 0, name: GeForce GTX 1080 Ti, pci bus id: 0000:01:00.0, compute capability: 6.1) Text detect engine:keras 2019-10-03 20:31:29.346093: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1511] Adding visible gpu devices: 0 2019-10-03 20:31:29.346124: I tensorflow/core/common_runtime/gpu/gpu_device.cc:982] Device interconnect StreamExecutor with strength 1 edge matrix: 2019-10-03 20:31:29.346130: I tensorflow/core/common_runtime/gpu/gpu_device.cc:988] 0 2019-10-03 20:31:29.346133: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1001] 0: N 2019-10-03 20:31:29.346175: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1115] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 8894 MB memory) -> physical GPU (device: 0, name: GeForce GTX 1080 Ti, pci bus id: 0000:01:00.0, compute capability: 6.1) Serving Flask app "app" (lazy loading) Environment: production WARNING: This is a development server. Do not use it in a production deployment. Use a production WSGI server instead. Debug mode: off Running on http://172.17.0.1:8070/ (Press CTRL+C to quit) 192.168.0.100 - - [03/Oct/2019 20:32:04] "GET / HTTP/1.1" 404 - — You are receiving this because you commented. Reply to this email directly, view it on GitHub, or mute the thread. — You are receiving this because you commented. Reply to this email directly, view it on GitHub, or mute the thread.

John · Answer 4 · Wed Oct 09 2019 11:14:56 GMT+0800 (China Standard Time)

你使用的是get的方法，请切换至post方法 | | 追梦者邮箱：18010149119@163.com | 签名由网易邮箱大师定制在2019年10月07日 15:02，quuhua911 写道：服务已经正常启动，使用post方法访问，访问地址：http://172.17.0.1:8070/invoice-ocr ,传入key值：file，你看看app.py文件书写的api接口便知。回复 : 按照你的建议填好后,还是报"请求参数错误"具体见截图,能否请您再指点一下,还需要修改哪里? 2019-10-07 14-56-08 的屏幕截图 9-10-03 20:31:16.997612: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1511] Adding visible gpu devices: 0 2019-10-03 20:31:16.997643: I tensorflow/core/common_runtime/gpu/gpu_device.cc:982] Device interconnect StreamExecutor with strength 1 edge matrix: 2019-10-03 20:31:16.997649: I tensorflow/core/common_runtime/gpu/gpu_device.cc:988] 0 2019-10-03 20:31:16.997653: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1001] 0: N 2019-10-03 20:31:16.997694: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1115] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 8894 MB memory) -> physical GPU (device: 0, name: GeForce GTX 1080 Ti, pci bus id: 0000:01:00.0, compute capability: 6.1) Text detect engine:keras 2019-10-03 20:31:22.809804: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1511] Adding visible gpu devices: 0 2019-10-03 20:31:22.809835: I tensorflow/core/common_runtime/gpu/gpu_device.cc:982] Device interconnect StreamExecutor with strength 1 edge matrix: 2019-10-03 20:31:22.809841: I tensorflow/core/common_runtime/gpu/gpu_device.cc:988] 0 2019-10-03 20:31:22.809845: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1001] 0: N 2019-10-03 20:31:22.809886: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1115] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 8894 MB memory) -> physical GPU (device: 0, name: GeForce GTX 1080 Ti, pci bus id: 0000:01:00.0, compute capability: 6.1) Text detect engine:keras 2019-10-03 20:31:29.346093: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1511] Adding visible gpu devices: 0 2019-10-03 20:31:29.346124: I tensorflow/core/common_runtime/gpu/gpu_device.cc:982] Device interconnect StreamExecutor with strength 1 edge matrix: 2019-10-03 20:31:29.346130: I tensorflow/core/common_runtime/gpu/gpu_device.cc:988] 0 2019-10-03 20:31:29.346133: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1001] 0: N 2019-10-03 20:31:29.346175: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1115] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 8894 MB memory) -> physical GPU (device: 0, name: GeForce GTX 1080 Ti, pci bus id: 0000:01:00.0, compute capability: 6.1) Serving Flask app "app" (lazy loading) Environment: production WARNING: This is a development server. Do not use it in a production deployment. Use a production WSGI server instead. Debug mode: off Running on http://172.17.0.1:8070/ (Press CTRL+C to quit) 192.168.0.100 - - [03/Oct/2019 20:32:04] "GET / HTTP/1.1" 404 - — You are receiving this because you commented. Reply to this email directly, view it on GitHub, or mute the thread. — You are receiving this because you commented. Reply to this email directly, view it on GitHub, or mute the thread.

我用的是post方法,这个可以见我发的截图和下面的信息

192.168.0.100 - - [07/Oct/2019 15:14:46] "POST /invoice-ocr?file=/home/quh/pythonwork/invoice/1.jpg HTTP/1.1" 200 -
192.168.0.100 - - [07/Oct/2019 15:14:51] "POST /invoice-ocr?file=/home/quh/pythonwork/invoice/1.jpg HTTP/1.1" 200 -
你的请求方式有点问题，正确的请求方式见截图。

quuhua911 · Answer 5 · Wed Oct 09 2019 14:55:03 GMT+0800 (China Standard Time)

感谢各位大神,可以了.