prompt: You will be provided with a partial code base and an issue statement explaining a problem to resolve.
  <issue>
  Fill out model-defaults for tensorflow-od
  Currently we only have 1 model in model_defaults.json: 
  
  https://github.com/azavea/raster-vision/blob/feature/api-refactor/src/rastervision/backend/model_defaults.json#L2
  
  We need to fill it out to include each of these configurations, matched up with each of the pretrained weights from the model zoo:
  
  #### Configs
  https://github.com/azavea/models/tree/master/research/object_detection/samples/configs
  
  #### Weights
  https://github.com/azavea/models/blob/master/research/object_detection/g3doc/detection_model_zoo.md
  
  </issue>
  <code>
  [start of src/rastervision/backend/api.py]
  1 # flake8: noqa
  2 
  3 # Registry keys
  4 
  5 BACKEND = 'BACKEND'
  6 
  7 ## Backend Keys
  8 
  9 TF_OBJECT_DETECTION = 'TF_OBJECT_DETECTION'
  10 KERAS_CLASSIFICATION = 'KERAS_CLASSIFICATION'
  11 
  12 ## Model keys
  13 
  14 ### TF Object Detection
  15 SSD_MOBILENET_V1_COCO = 'SSD_MOBILENET_V1_COCO'
  16 
  17 ## Keras Classificaiton
  18 RESNET50_IMAGENET = 'RESNET50_IMAGENET'
  19 
  20 from .backend_config import BackendConfig
  21
  [end of src/rastervision/backend/api.py]
  </code>
  
  I need you to solve this issue by generating a single patch file that I can apply directly to this repository using git apply. Please respond with a single patch file in the following format.
  <patch>
  diff --git a/file.py b/file.py
  --- a/file.py
  +++ b/file.py
  @@ -1,27 +1,35 @@
   def euclidean(a, b):
  -    while b:
  -        a, b = b, a % b
  -    return a
  +    if b == 0:
  +        return a
  +    return euclidean(b, a % b)
   
   
   def bresenham(x0, y0, x1, y1):
       points = []
       dx = abs(x1 - x0)
       dy = abs(y1 - y0)
  -    sx = 1 if x0 < x1 else -1
  -    sy = 1 if y0 < y1 else -1
  -    err = dx - dy
  +    x, y = x0, y0
  +    sx = -1 if x0 > x1 else 1
  +    sy = -1 if y0 > y1 else 1
   
  -    while True:
  -        points.append((x0, y0))
  -        if x0 == x1 and y0 == y1:
  -            break
  -        e2 = 2 * err
  -        if e2 > -dy:
  -            err -= dy
  -            x0 += sx
  -        if e2 < dx:
  -            err += dx
  -            y0 += sy
  +    if dx > dy:
  +        err = dx / 2.0
  +        while x != x1:
  +            points.append((x, y))
  +            err -= dy
  +            if err < 0:
  +                y += sy
  +                err += dx
  +            x += sx
  +    else:
  +        err = dy / 2.0
  +        while y != y1:
  +            points.append((x, y))
  +            err -= dx
  +            if err < 0:
  +                x += sx
  +                err += dy
  +            y += sy
  +
  +    points.append((x, y))
       return points
  
  </patch>
golden_diff: diff --git a/src/rastervision/backend/api.py b/src/rastervision/backend/api.py
  --- a/src/rastervision/backend/api.py
  +++ b/src/rastervision/backend/api.py
  @@ -13,6 +13,20 @@
   
   ### TF Object Detection
   SSD_MOBILENET_V1_COCO = 'SSD_MOBILENET_V1_COCO'
  +SSD_MOBILENET_V2_COCO = 'SSD_MOBILENET_V2_COCO'
  +SSDLITE_MOBILENET_V2_COCO = 'SSDLITE_MOBILENET_V2_COCO'
  +SSD_INCEPTION_V2_COCO = 'SSD_INCEPTION_V2_COCO'
  +FASTER_RCNN_INCEPTION_V2_COCO = 'FASTER_RCNN_INCEPTION_V2_COCO'
  +FASTER_RCNN_RESNET50_COCO = 'FASTER_RCNN_RESNET50_COCO'
  +RFCN_RESNET101_COCO = 'RFCN_RESNET101_COCO'
  +FASTER_RCNN_RESNET101_COCO = 'FASTER_RCNN_RESNET101_COCO'
  +FASTER_RCNN_INCEPTION_RESNET_V2_ATROUS_COCO = \
  +'FASTER_RCNN_INCEPTION_RESNET_V2_ATROUS_COCO'
  +MASK_RCNN_INCEPTION_RESNET_V2_ATROUS_COCO = \
  +'MASK_RCNN_INCEPTION_RESNET_V2_ATROUS_COCO'
  +MASK_RCNN_INCEPTION_V2_COCO = 'MASK_RCNN_INCEPTION_V2_COCO'
  +MASK_RCNN_RESNET101_ATROUS_COCO = 'MASK_RCNN_RESNET101_ATROUS_COCO'
  +MASK_RCNN_RESNET50_ATROUS_COCO = 'MASK_RCNN_RESNET50_ATROUS_COCO'
   
   ## Keras Classificaiton
   RESNET50_IMAGENET = 'RESNET50_IMAGENET'
  
verification_info: {"golden_diff": "diff --git a/src/rastervision/backend/api.py b/src/rastervision/backend/api.py\n--- a/src/rastervision/backend/api.py\n+++ b/src/rastervision/backend/api.py\n@@ -13,6 +13,20 @@\n \n ### TF Object Detection\n SSD_MOBILENET_V1_COCO = 'SSD_MOBILENET_V1_COCO'\n+SSD_MOBILENET_V2_COCO = 'SSD_MOBILENET_V2_COCO'\n+SSDLITE_MOBILENET_V2_COCO = 'SSDLITE_MOBILENET_V2_COCO'\n+SSD_INCEPTION_V2_COCO = 'SSD_INCEPTION_V2_COCO'\n+FASTER_RCNN_INCEPTION_V2_COCO = 'FASTER_RCNN_INCEPTION_V2_COCO'\n+FASTER_RCNN_RESNET50_COCO = 'FASTER_RCNN_RESNET50_COCO'\n+RFCN_RESNET101_COCO = 'RFCN_RESNET101_COCO'\n+FASTER_RCNN_RESNET101_COCO = 'FASTER_RCNN_RESNET101_COCO'\n+FASTER_RCNN_INCEPTION_RESNET_V2_ATROUS_COCO = \\\n+'FASTER_RCNN_INCEPTION_RESNET_V2_ATROUS_COCO'\n+MASK_RCNN_INCEPTION_RESNET_V2_ATROUS_COCO = \\\n+'MASK_RCNN_INCEPTION_RESNET_V2_ATROUS_COCO'\n+MASK_RCNN_INCEPTION_V2_COCO = 'MASK_RCNN_INCEPTION_V2_COCO'\n+MASK_RCNN_RESNET101_ATROUS_COCO = 'MASK_RCNN_RESNET101_ATROUS_COCO'\n+MASK_RCNN_RESNET50_ATROUS_COCO = 'MASK_RCNN_RESNET50_ATROUS_COCO'\n \n ## Keras Classificaiton\n RESNET50_IMAGENET = 'RESNET50_IMAGENET'\n", "issue": "Fill out model-defaults for tensorflow-od\nCurrently we only have 1 model in model_defaults.json: \r\n\r\nhttps://github.com/azavea/raster-vision/blob/feature/api-refactor/src/rastervision/backend/model_defaults.json#L2\r\n\r\nWe need to fill it out to include each of these configurations, matched up with each of the pretrained weights from the model zoo:\r\n\r\n#### Configs\r\nhttps://github.com/azavea/models/tree/master/research/object_detection/samples/configs\r\n\r\n#### Weights\r\nhttps://github.com/azavea/models/blob/master/research/object_detection/g3doc/detection_model_zoo.md\n", "before_files": [{"content": "# flake8: noqa\n\n# Registry keys\n\nBACKEND = 'BACKEND'\n\n## Backend Keys\n\nTF_OBJECT_DETECTION = 'TF_OBJECT_DETECTION'\nKERAS_CLASSIFICATION = 'KERAS_CLASSIFICATION'\n\n## Model keys\n\n### TF Object Detection\nSSD_MOBILENET_V1_COCO = 'SSD_MOBILENET_V1_COCO'\n\n## Keras Classificaiton\nRESNET50_IMAGENET = 'RESNET50_IMAGENET'\n\nfrom .backend_config import BackendConfig\n", "path": "src/rastervision/backend/api.py"}]}