17 Commits

Author	SHA1	Message	Date
Jia Guo	d05e9a12d3	pip 0.7.1	2022-12-14 10:55:08 +08:00
Andrii Yerko	6b3bc2df1e	Add build system requirements for correct installation	2022-09-21 23:39:09 +03:00
Jia Guo	340f6848f2	Update README.md	2022-05-28 15:32:58 +08:00
Jia Guo	0eaf369dac	Update README.md	2022-05-28 15:24:22 +08:00
戦士	09767b3ada	change section 'Install'	2022-04-15 19:11:29 +02:00
Bahar Baradaran Eftekhari	0fc64615e7	Fixing a bug in the prepare function arguments.	2022-02-26 11:12:19 +03:30
Jia Guo	e7816a226d	python package ver 0.6 update	2022-01-29 19:54:55 +08:00
zeno	28167da663	Update README.md	2022-01-12 16:33:37 +08:00
Dani Vera	6d14852c15	Update README.md ... Using onnxruntime-gpu 1.10 (last one), the following error will occur: raise ValueError("This ORT build has {} enabled. ".format(available_providers) + ValueError: This ORT build has ['TensorrtExecutionProvider', 'CUDAExecutionProvider', 'CPUExecutionProvider'] enabled. Since ORT 1.9, you are required to explicitly set the providers parameter when instantiating InferenceSession. For example, onnxruntime.InferenceSession(..., providers=['TensorrtExecutionProvider', 'CUDAExecutionProvider', 'CPUExecutionProvider'], ...) To solve this is enough to pass the providers to the prepare function. A better solution may be to pass a default value to the onnx session, but for the moment this should do the trick.	2021-12-16 20:44:16 +01:00
Jia Guo	16421481e4	add 0.5 readme	2021-09-21 10:46:33 +08:00
Jia Guo	8420187ed9	Update README.md	2021-07-07 23:51:18 +08:00
nttstar	ce3600a742	a big tree refine	2021-06-19 23:37:10 +08:00
Jia Guo	dfa2b58f97	0.3.3, supports model auto download	2021-06-18 20:12:45 +08:00
Jia Guo	ff8716dba5	Update README.md	2021-06-15 22:03:14 +08:00
Jia Guo	0fdf664d68	Update README.md	2021-05-16 17:22:29 +08:00
Jia Guo	f85e523d13	Update README.md	2021-05-15 16:48:27 +08:00
nttstar	b5813f86b7	pip package	2019-08-29 23:23:35 +08:00