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@ -99,6 +99,20 @@ When processing KITTI images, the network uses the provided intrinsic matrix of
In all the other cases, we use the parameters of nuScenes cameras, with "1/1.8'' CMOS sensors of size 7.2 x 5.4 mm. In all the other cases, we use the parameters of nuScenes cameras, with "1/1.8'' CMOS sensors of size 7.2 x 5.4 mm.
The default focal length is 5.7mm and this parameter can be modified using the argument `--focal`. The default focal length is 5.7mm and this parameter can be modified using the argument `--focal`.
**Webcam** <br />
You can use the webcam as input by using the `--webcam` argument. By default the `--z_max` is set to 10 while using the webcam.
For example, the following command :
```
python -m monoloco.run predict \
--webcam \
--output_types multi
```
Yields the following result :
![webcam](docs/)
With `social_distance` in `--activities`, only the keypoints will be shown, allowing total anonimity.
## A) 3D Localization ## A) 3D Localization
**Ground-truth comparison** <br /> **Ground-truth comparison** <br />
@ -162,7 +176,7 @@ python3 -m monoloco.run predict --glob docs/005523*.png \ --output_types multi \
![Occluded hard example](docs/out_005523.png.multi.jpg) ![Occluded hard example](docs/out_005523.png.multi.jpg)
## B) Social Distancing (and Talking activity) ## B) Social Distancing (and Talking activity)
To visualize social distancing compliance, simply add the argument `--social-distance` to the predict command. This visualization is not supported with a stereo camera. To visualize social distancing compliance, simply add the argument `social_distance` to `--activities`. This visualization is not supported with a stereo camera.
Threshold distance and radii (for F-formations) can be set using `--threshold-dist` and `--radii`, respectively. Threshold distance and radii (for F-formations) can be set using `--threshold-dist` and `--radii`, respectively.
For more info, run: For more info, run:
@ -176,12 +190,27 @@ An example from the Collective Activity Dataset is provided below.
To visualize social distancing run the below, command: To visualize social distancing run the below, command:
``` ```
python -m monoloco.run predict docs/frame0032.jpg \ python -m monoloco.run predict docs/frame0032.jpg \
--social_distance --output_types front bird --activities social_distance --output_types front bird
``` ```
<img src="docs/out_frame0032_front_bird.jpg" width="700"/> <img src="docs/out_frame0032_front_bird.jpg" width="700"/>
## C) Raise hand detection
To detect a risen hand, you can add `raise_hand` to `--activities`.
## C) Orientation and Bounding Box dimensions For more info, run:
`python -m monoloco.run predict --help`
**Examples** <br>
To visualize raised hand with the webcam, run the below command:
```
python -m monoloco.run predict docs/frame0032.jpg \
--activities raise_hand --output_types front bird
```
![webcam_raise_hand]()
## D) Orientation and Bounding Box dimensions
The network estimates orientation and box dimensions as well. Results are saved in a json file when using the command The network estimates orientation and box dimensions as well. Results are saved in a json file when using the command
`--output_types json`. At the moment, the only visualization including orientation is the social distancing one. `--output_types json`. At the moment, the only visualization including orientation is the social distancing one.