Icevision

**BREAKING:** API Refactor

Added
- Metrics for mmdetection models

Changed
- **Breaking:** Renamed tasks `default,detect,classif` to `common,detection,classification`
- **Breaking:** Renamed `imageid` to `record_id`
- **Breaking:** Added parameter `is_new` to `Parser.parse_fields`
- Removed all dependencies on `cv2` for visualisation
- Use new composite API for visualisation - covers user defined task names & multiple tasks
- Added a ton of visualisation goodies to `icevision.visualize.draw_data.draw_sample` - user can now
- use custom fonts
- control mask thickness
- control mask blending
- prettify labels -- show confidence score & capitalise label
- plot specific and/or exclude specific labels
- pass in a dictionary mapping labels to specific colors
- control label height & width padding from bbox edge
- add border around label for legibility (color is a parameter)

**Breaking:**: Rename `labels->label_ids`, `labels_names->labels` in `LabelsRecordComponent`
- Renamed torchvision resnet backbones:
- resnet_fpn.resnet18 -> resnet18_fpn
- resnest_fpn.resnest18 -> resnest18_fpn

**Breaking:** Added parameters `sample` and `keep_image` to `convert_raw_prediction`
**Breaking:** Renamed `VocXmlParser` to `VOCBBoxParser` and `VocMaskParser` to `VOCMaskParser`
**Breaking:** Renamed `predict_dl` to `predict_from_dl`

Added
- mmdetection models

Changed
- **Breaking:** All `Parser` subclasses need to call `super.__init__`
- **Breaking:** `LabelsMixin.labels` now needs to return `List[Hashable]` instead of `List[int]` (labels names instead of label ids)
- **Breaking:** Model namespace changes e.g. `faster_rcnn` -> `models.torchvision.faster_rcnn`, `efficientdet` -> `models.ross.efficientdet`
- **Breaking:** Renamed `ClassMap.get_name/get_id` to `ClassMap.get_by_name/get_by_id`
- **Breaking:** Removes `idmap` argument from `Parser.parse`. Instead pass `idmap` to the constructor (`__init__`).
- ClassMap is not created inside of the parser, it's not required to instantiate it before
- class_map labels get automatically filled while parsing
- background for class_map is now always 0 (unless no background)
- adds `class_map` to `Record`

Deleted

Added
- `aggregate_records_objects` function

Changed
- Added `label_field` to VIA parser to allow for alternate `region_attribute` names

Added
- Keypoints full support: data API, model and training
- VGG Image Annotator v2 JSON format parser for bboxes
- `figsize` parameter to `show_record` and `show_sample`

Changed
- improved visualisation for small bboxes
- `COCOMetric` now returns all metrics from pycocotools
- makes torchvision models torchscriptable

Added
- retinanet: model, dataloaders, predict, ...

Changed
- **Breaking:** models/rcnn renamed to models/torchvision_models
- tests/models/rcnn renamed to tests/models/torchvision_models