Add instance segmentation model #3
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Things to do to improve the experience with BrainFrame:
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| ### Sources | ||
| Trained using the [Tensorflow Object Detection API]( | ||
| https://github.com/tensorflow/models/blob/master/research/object_detection) |
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Nit: use consistent link syntax
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| @staticmethod | ||
| def segm_postprocess(box, raw_cls_mask, im_h, im_w): |
| return im_mask | ||
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| @staticmethod | ||
| def expand_box(box, scale): |
| **common_detector_options, | ||
| "keep_aspect_ratio": BoolOption( | ||
| default=False, | ||
| description="If True, it will keep the aspect ratio of " |
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Nit: I'm not sure of the technical term for this, but don't use "it will". The "it" can lead to confusion.
ex:
"If True, it will keep the aspect ratio" -> "If True, the aspect ratio will be kept"
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| Copyright 2020 Dilili Labs, Inc. | |||
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I thought we were using Aotu in the License files from now on?
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| Apache License | |||
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seems that this file is a duplicate, just with a lowercase name
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| [about] | |||
| api_compatibility_version = 0.2 No newline at end of file | |||
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Nit: newline at end of file
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| ## Model | ||
| ### Architecture & Performance | ||
| This model is is a Mask R-CNN with ResNet50 backbone. |
| this [python demo][python demo]. | ||
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| ### Model File Origin | ||
| The pretrained model was downloaded from the Open |
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"Open OpenCV Model Zoo"
was this what you wanted it to say?
Postgres has a native Polygon type. We may want to use it: |
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| Copyright 2020 Dilili Labs, Inc. | |||
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File duplicate, but with lowercase name?
| state: BaseStreamState) -> DETECTION_NODE_TYPE: | ||
| frame_h, frame_w, _ = frame.shape | ||
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| if options["keep_aspect_ratio"]: |
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Do you think people will want to turn this off? In other capsules, we always keep the same aspect ratio, right?
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| Apache License | |||
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We're not consistent about this, but the license should include the copyright owner as well, which for this model is "Copyright (c) 2019 Intel Corporation".
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Postgres is so cool! BF-1440 |
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| else: | ||
| zipped = zip(boxes, classes, prediction['raw_masks'], scores) | ||
| for box, cls, raw_mask, score in zipped: |
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Change cls to class_id to match the pattern above
I'm creating this pull request to add an instance segmentation model to our capsule repertoire.
Let's get the code review out of the way, but I don't want to merge it until the experience with BrainFrame is better.