Comments (4)
You cannot pass quantized weights as Float32Arrays to net.load, because dequantization requires meta data, such as scale
and min
for each tensor. Why do you want to load quantized weights as a Float32Array in the first place?
from face-api.js.
Because the uncompressed weights have been removed in this repo, so I though that if I want to use http/axios then that would be the way to go.
How would I then use this like that?
from face-api.js.
If you want to load quantized weights simply use net.load('uri'). This downloads the weights using fetch and then dequantizes the weights (this step is just a call to tfjs-core actually).
May I ask, why you want to use axios for that?
By the way, if for some reason you still want to use the weights without quantization, you can still download them from face-api.js-models.
from face-api.js.
Closing here now, since question should be answered.
from face-api.js.
Related Issues (20)
- Samsung device has low accuracy when detect face
- Unable to load the content of http://localhost:5173/node_modules/face-api.js/src/faceProcessor/FaceProcessor.ts (HTTP error: status code 404, net::ERR_HTTP_RESPONSE_CODE_FAILURE). HOT 1
- Unhandled Promise Rejection: TypeError: null is not an object (evaluating 'e.isContextLost')
- Perhaps a stupid question - Is this project still in active development ? If so where is the latest version. HOT 1
- Security vulnerability - patch HOT 1
- Source map failed warning issue
- Can face-api.js filter faces from webRTC streams in real time?
- Integration with React Native? HOT 1
- How to boost performance speed on browser? HOT 1
- No detections when there is big backlight or black mask on faces
- Wow
- How do I import with vite?
- problem detection HOT 1
- Initialization of backend wasm failed
- Face recognition and emotion detection is not working on some devices
- How to I get current coordinates by viewport for a detected face for different devices HOT 1
- Error: readFile - filesystem not available for browser environment HOT 1
- I'm not succeeding in getting the face-api to detect faces. HOT 2
- How to implement it ??
- next.js implementation HOT 1
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