smilence86
smilence86
我也遇到了,我在本地用frp开了一个stcp隧道连接矿池,就要改成这样配置: ![image](https://user-images.githubusercontent.com/6102831/138898090-bd9d33ed-0cf5-433d-a933-784d94429661.png)
Seems not work, some static files are 404 error: ![image](https://user-images.githubusercontent.com/6102831/175224977-9fe4b245-6d83-4878-b6f3-9c828fadebc8.png) Something Need explain further, The port 8000 is h5ai listening by docker container, There are few other services running behind...
Also 404 ``` location ^~ /share/ { proxy_read_timeout 60m; proxy_set_header Host $host; proxy_set_header X-Forwarded-Proto https; proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for; proxy_set_header X-Real-IP $remote_addr; proxy_pass http://127.0.0.1:8000/; } location ^~ /share/_h5ai { proxy_read_timeout 60m;...
not work, 404. ![image](https://user-images.githubusercontent.com/6102831/175231827-c6a47115-dc34-41a1-b613-3a536d65c6d2.png)
> Will test on my side sweat_smile Thanks for your help.
Hello, any updates for this?
Okay, Thanks, I'll use subdomain first before that could work.
I'm try to run it on raspberry pi 4b, The way to install mxnet is pip install from official whl (mxnet-1.5.0-py2.py3-none-any.whl), maybe it's not use opencv when it's compile. So...
@becauseofAI I'm also get same error by these codes: ``` #python3 get_face_boxes_gluoncv.py #x, img = presets.yolo.load_test(image, short=img_short) frame = cv2.imread(image) img_nd = nd.array(frame) x, img = data_trans(img_nd, short=img_short) x =...
@becauseofAI https://mxnet-public.s3.amazonaws.com/install/raspbian/mxnet-1.5.0-py2.py3-none-any.whl