coco/README.md

server.py
: Server for the web interface

create_shapes.py
: Create an svg file per image, with classes on the shapes according to their classes

zoom_animation.py
: Create svg frames for a category. Ordered by the area of the shapes.

generate_lonely_segments.py
: Find and download the images with only one object in them.

tools.py
: Turn a COCO json file (eg `instances_val2017.json`) into a database format (eg `coco_train.db`)


---

Build array of images sorted by size:

```bash
python zoom_animation.py --annotations ../../datasets/COCO/annotations/instances_train2017.json --output zoom --category_id 18
```

Turn into png

```bash
cd zoom/dog
for file in *.svg; do inkscape -z -f "${file}" -w 640 -e "../dog_png/${file}.png"; done
```

Turn png into mp4

```bash
cd ../dog_png
#ffmpeg -r 1 -i %d_*.png -pix_fmt yuv420p bloch2.mp4
ffmpeg -f image2 -pattern_type glob -i '*.png' ../dog.mp4

```

# To run as server:
```bash
cp plottingdata_coco.service /etc/systemd/system/
systemctl daemon-reload
systemctl enable plottingdata_coco.service
systemctl start plottingdata_coco.service
```


```
rsync . --exclude zoom --exclude venv --exclude archive -av here.rubenvandeven.com:/home/ruben/coco/  --exclude shapes --exclude lonely --exclude .git --exclude __pycache__ --info progress2
```