Publish to npm

README.md

@@ -14,9 +14,9 @@
 ## Description
 This adapter uses cloud engine to detect and identify faces on the images. It can be used to identify the person on the image.
 
-Before start, you need running account on https://iobroker.pro and subscription for Assistant or Remote connection.
+Before start, you need a running account on https://iobroker.pro and subscription for Assistant or Remote connection.
 
-After that the persons must be created and trained. This can be done in the settings of the adapter on the "persons" tab. Maximum 10 persons can be created.
+After that, the persons must be created and trained. This can be done in the settings of the adapter on the "persons" tab. Maximum 10 people can be created.
 
 ## Usage
 ### Messages
@@ -35,18 +35,18 @@ Image can be encoded as:
 - ioBroker URL, like `iobstate://0_userdata.0.image/val` (`/val` is optional). State could be again URL to the image, Base64 encoded image or ioBroker URL. Up to 3 recursive levels are supported.
 - ioBroker URL, like `iobobject://system.adapter.face.0/common.extIcon`
 
-If person is detected, the state `face.X.persons.<PERSON>` will be set to true with no acknowledge.
+If person is detected, the state `face.X.persons.<PERSON>` will be set to true with no acknowledgement.
 
 ### States
-Following states are created:
+The following states are created:
 - `face.X.persons.<PERSON>` - Every created person will have the state. If the person is detected, the state will be set to true.
 - `face.X.images.upload` - Write to this state the image format described above to detect the person on the image.
-- `face.X.images.uploaded` - Current number of uploaded images. We suggest to upload 2 or more images to detect the liveness. If the image is older than 15 seconds it will be removed from the queue.
+- `face.X.images.uploaded` - Current number of uploaded images. We suggest uploading of 2 or more images to detect the liveness. If the image is older than 15 seconds it will be removed from the queue.
 - `face.X.images.verify` - Trigger the identification of the person on the uploaded images.
 - `face.X.images.enroll` - Trigger the training of the person that is defined in this state on the uploaded images.
 - `face.X.images.uploadResult` - The result of the detection or enrollment. If the person is detected, the state `face.X.persons.<PERSON>` will be set to true and the `face.X.images.uploadResult` to the person ID.
 
-Following values could be in `face.X.images.uploadResult`:
+The following values could be in `face.X.images.uploadResult`:
 - `PERSON_ID` - The person ID that was detected on the images.
 - `<no person>` - No person was identified on the images.
 - `<authentication error>` - Credentials are wrong or the subscription is expired.

admin/models/face_landmark_68_tiny_model-weights_manifest.json

@@ -0,0 +1 @@
+[{"weights":[{"name":"dense0/conv0/filters","shape":[3,3,3,32],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.008194216092427571,"min":-0.9423348506291708}},{"name":"dense0/conv0/bias","shape":[32],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.006839508168837603,"min":-0.8412595047670252}},{"name":"dense0/conv1/depthwise_filter","shape":[3,3,32,1],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.009194007106855804,"min":-1.2779669878529567}},{"name":"dense0/conv1/pointwise_filter","shape":[1,1,32,32],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.0036026100317637128,"min":-0.3170296827952067}},{"name":"dense0/conv1/bias","shape":[32],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.000740380117706224,"min":-0.06367269012273527}},{"name":"dense0/conv2/depthwise_filter","shape":[3,3,32,1],"dtype":"float32","quantization":{"dtype":"uint8","scale":1,"min":0}},{"name":"dense0/conv2/pointwise_filter","shape":[1,1,32,32],"dtype":"float32","quantization":{"dtype":"uint8","scale":1,"min":0}},{"name":"dense0/conv2/bias","shape":[32],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.0037702228508743585,"min":-0.6220867703942692}},{"name":"dense1/conv0/depthwise_filter","shape":[3,3,32,1],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.0033707996209462483,"min":-0.421349952618281}},{"name":"dense1/conv0/pointwise_filter","shape":[1,1,32,64],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.014611541991140328,"min":-1.8556658328748217}},{"name":"dense1/conv0/bias","shape":[64],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.002832523046755323,"min":-0.30307996600281956}},{"name":"dense1/conv1/depthwise_filter","shape":[3,3,64,1],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.006593170586754294,"min":-0.6329443763284123}},{"name":"dense1/conv1/pointwise_filter","shape":[1,1,64,64],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.012215249211180444,"min":-1.6001976466646382}},{"name":"dense1/conv1/bias","shape":[64],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.002384825547536214,"min":-0.3028728445370992}},{"name":"dense1/conv2/depthwise_filter","shape":[3,3,64,1],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.005859645441466687,"min":-0.7617539073906693}},{"name":"dense1/conv2/pointwise_filter","shape":[1,1,64,64],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.013121426806730382,"min":-1.7845140457153321}},{"name":"dense1/conv2/bias","shape":[64],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.0032247188044529336,"min":-0.46435950784122243}},{"name":"dense2/conv0/depthwise_filter","shape":[3,3,64,1],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.002659512618008782,"min":-0.32977956463308894}},{"name":"dense2/conv0/pointwise_filter","shape":[1,1,64,128],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.015499923743453681,"min":-1.9839902391620712}},{"name":"dense2/conv0/bias","shape":[128],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.0032450980999890497,"min":-0.522460794098237}},{"name":"dense2/conv1/depthwise_filter","shape":[3,3,128,1],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.005911862382701799,"min":-0.792189559282041}},{"name":"dense2/conv1/pointwise_filter","shape":[1,1,128,128],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.021025861478319356,"min":-2.2077154552235325}},{"name":"dense2/conv1/bias","shape":[128],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.00349616945958605,"min":-0.46149436866535865}},{"name":"dense2/conv2/depthwise_filter","shape":[3,3,128,1],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.008104994250278847,"min":-1.013124281284856}},{"name":"dense2/conv2/pointwise_filter","shape":[1,1,128,128],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.029337059282789044,"min":-3.5791212325002633}},{"name":"dense2/conv2/bias","shape":[128],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.0038808938334969913,"min":-0.4230174278511721}},{"name":"fc/weights","shape":[128,136],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.014016061670639936,"min":-1.8921683255363912}},{"name":"fc/bias","shape":[136],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.0029505149698724935,"min":0.088760145008564}}],"paths":["face_landmark_68_tiny_model-shard1"]}]

admin/models/tiny_face_detector_model-weights_manifest.json

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