|
| 1 | +# Classification |
| 2 | + |
| 3 | +- tensor-group: no |
| 4 | +- layer-type: output |
| 5 | +- use-case: face-detection |
| 6 | + |
| 7 | +# Description |
| 8 | +Location of faces detected |
| 9 | + |
| 10 | +## Boxes Tensor |
| 11 | + |
| 12 | +- tensor-shape: 1 x COUNT x 4 |
| 13 | +- tensor-datatype: float32 |
| 14 | +- tensor-id: ultra-lightweight-face-detection-rfb-320-v1-variant-1-out-boxes-without-postproc |
| 15 | + |
| 16 | +### Encoding |
| 17 | + |
| 18 | +Scheme: (top left X, top left Y, width, height) |
| 19 | + |
| 20 | +The COUNT is variable and depends on the model training. |
| 21 | + |
| 22 | +Other constants are extracted from the training process: |
| 23 | +- CENTER_VARIANCE = 0.1 |
| 24 | +- SIZE_VARIANCE = 0.2 |
| 25 | +- COUNT |
| 26 | + |
| 27 | +The COUNT can be retrieved from the tensor dimensions. |
| 28 | + |
| 29 | +Each entry in the table is the variance on the matching anchor which |
| 30 | +is also defined at training time. Each anchor is defined as the |
| 31 | +following tuple: |
| 32 | +`(anchor-center-x, anchor-center-y, anchor-width anchor-height)` |
| 33 | + |
| 34 | +Once the following formulas have been applied, the bounding boxes |
| 35 | +center is calculated along with its size. |
| 36 | + |
| 37 | +``` |
| 38 | +bounding-box-center-x = top-left-x * CENTER_VARIANCE * anchor-width + anchor-center-x |
| 39 | +bounding-box-center-y = top-left-y * CENTER_VARIANCE * anchor-height + anchor-center-y |
| 40 | +bounding-box-width = expf (width * SIZE_VARIANCE) * anchor-width |
| 41 | +bounding-box-height = expf (height * SIZE_VARIANCE) * anchor-height |
| 42 | +``` |
| 43 | + |
| 44 | +|box-1 | box-1 | box-1 | box-1 | box-2 | box-2 | box-2 | box-2 | ... | COUNT|COUNT|COUNT|COUNT| |
| 45 | +|--- |--- |--- |--- |--- |--- |--- |--- |--- |--- |--- |--- |--- | |
| 46 | +| top-left-X | top-left-Y | width | height | top-left-X | top-left-Y | width | height | ... top-left-X | top-left-Y | width | height | |
| 47 | + |
| 48 | +Memory layout of tensor data: |
| 49 | + |
| 50 | +|Index |Value | |
| 51 | +|--- |--- | |
| 52 | +| - | - | |
| 53 | +|0 |top-left-x | |
| 54 | +|1 |top-left-y | |
| 55 | +|2 |width | |
| 56 | +|3 |height | |
| 57 | +|4 |top-left-x | |
| 58 | +|5 |top-left-y | |
| 59 | +|6 |width | |
| 60 | +|7 |height | |
| 61 | +|... | ... | |
| 62 | +|(COUNT - 1) x 4 |top-left-x | |
| 63 | +|(COUNT - 1) x 4 + 1 |top-left-y | |
| 64 | +|(COUNT - 1) x 4 + 2 |width | |
| 65 | +|(COUNT - 1) x 4 + 3 |height | |
| 66 | + |
| 67 | + |
| 68 | + |
| 69 | +# Models |
| 70 | + |
| 71 | +* [Model source](https://github.com/Linzaer/Ultra-Light-Fast-Generic-Face-Detector-1MB/tree/master) |
| 72 | +* [ONNX pre-trained model](https://github.com/Linzaer/Ultra-Light-Fast-Generic-Face-Detector-1MB/tree/master/models/) |
| 73 | + |
| 74 | +# Tensor Decoders |
| 75 | +|Framework | Links | |
| 76 | +|--- |--- | |
| 77 | +|GStreamer | [perm](https://gitlab.freedesktop.org/gstreamer/gstreamer/-/blob/main/subprojects/gst-plugins-bad/gst/tensordecoders/gstfacedetectortensordecoder.c) | |
| 78 | + |
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