Replace http https
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@@ -41,7 +41,7 @@ convert the result into JSON format and augment the input image with the detecte
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[source,java,linenums]
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----
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ObjectDetectionService detectionService = new ObjectDetectionService(
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"http://download.tensorflow.org/models/object_detection/faster_rcnn_nas_coco_2018_01_28.tar.gz#frozen_inference_graph.pb", //<1>
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"https://download.tensorflow.org/models/object_detection/faster_rcnn_nas_coco_2018_01_28.tar.gz#frozen_inference_graph.pb", //<1>
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"https://raw.githubusercontent.com/tensorflow/models/master/research/object_detection/data/mscoco_label_map.pbtxt", //<2>
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0.4f, //<3>
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false, //<4>
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@@ -103,7 +103,7 @@ NOTE: It requires a trained model that supports `Masks` as well as setting the i
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[source,java,linenums]
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----
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ObjectDetectionService detectionService = new ObjectDetectionService(
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"http://download.tensorflow.org/models/object_detection/mask_rcnn_inception_resnet_v2_atrous_coco_2018_01_28.tar.gz#frozen_inference_graph.pb", // <1>
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"https://download.tensorflow.org/models/object_detection/mask_rcnn_inception_resnet_v2_atrous_coco_2018_01_28.tar.gz#frozen_inference_graph.pb", // <1>
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"https://raw.githubusercontent.com/tensorflow/models/master/research/object_detection/data/mscoco_label_map.pbtxt", // <2>
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0.4f, // <3>
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true, // <4>
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@@ -152,10 +152,10 @@ Following models can be used for `Instance Segmentation` as well:
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[frame=none, grid=none]
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|===
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| http://download.tensorflow.org/models/object_detection/mask_rcnn_inception_resnet_v2_atrous_coco_2018_01_28.tar.gz[mask_rcnn_inception_resnet_v2_atrous_coco_2018_01_28.tar.gz]
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| http://download.tensorflow.org/models/object_detection/mask_rcnn_inception_v2_coco_2018_01_28.tar.gz[mask_rcnn_inception_v2_coco_2018_01_28.tar.gz]
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| http://download.tensorflow.org/models/object_detection/mask_rcnn_resnet101_atrous_coco_2018_01_28.tar.gz[mask_rcnn_resnet101_atrous_coco_2018_01_28.tar.gz]
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| http://download.tensorflow.org/models/object_detection/mask_rcnn_resnet50_atrous_coco_2018_01_28.tar.gz[mask_rcnn_resnet50_atrous_coco_2018_01_28.tar.gz]
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| https://download.tensorflow.org/models/object_detection/mask_rcnn_inception_resnet_v2_atrous_coco_2018_01_28.tar.gz[mask_rcnn_inception_resnet_v2_atrous_coco_2018_01_28.tar.gz]
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| https://download.tensorflow.org/models/object_detection/mask_rcnn_inception_v2_coco_2018_01_28.tar.gz[mask_rcnn_inception_v2_coco_2018_01_28.tar.gz]
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| https://download.tensorflow.org/models/object_detection/mask_rcnn_resnet101_atrous_coco_2018_01_28.tar.gz[mask_rcnn_resnet101_atrous_coco_2018_01_28.tar.gz]
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| https://download.tensorflow.org/models/object_detection/mask_rcnn_resnet50_atrous_coco_2018_01_28.tar.gz[mask_rcnn_resnet50_atrous_coco_2018_01_28.tar.gz]
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|===
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In addition to the model, the `ObjectDetectionService` requires a list of labels that correspond to the categories detectable by the selected model.
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@@ -94,8 +94,8 @@ public class ObjectDetectionService2 implements AutoCloseable {
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}
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public static void main(String[] args) throws IOException {
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String modelUri = "http://dl.bintray.com/big-data/generic/ssdlite_mobilenet_v2_coco_2018_05_09_frozen_inference_graph.pb";
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String labelUri = "http://dl.bintray.com/big-data/generic/mscoco_label_map.pbtxt";
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String modelUri = "https://dl.bintray.com/big-data/generic/ssdlite_mobilenet_v2_coco_2018_05_09_frozen_inference_graph.pb";
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String labelUri = "https://dl.bintray.com/big-data/generic/mscoco_label_map.pbtxt";
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ObjectDetectionOutputConverter outputAdapter = new ObjectDetectionOutputConverter(
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new DefaultResourceLoader().getResource(labelUri), 0.4f, FETCH_NAMES);
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@@ -52,7 +52,7 @@ public class ExampleInstanceSegmentation {
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// You can download pre-trained models directly from the zoo: https://github.com/tensorflow/models/blob/master/research/object_detection/g3doc/detection_model_zoo.md
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// Just use the notation <zoo model tar.gz url>#<name of the frozen model file name>
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// For performance reasons you may consider downloading the model locally and use the file:/<path to my model> URI instead!
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String model = "http://download.tensorflow.org/models/object_detection/mask_rcnn_inception_resnet_v2_atrous_coco_2018_01_28.tar.gz#frozen_inference_graph.pb";
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String model = "https://download.tensorflow.org/models/object_detection/mask_rcnn_inception_resnet_v2_atrous_coco_2018_01_28.tar.gz#frozen_inference_graph.pb";
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// All labels for the pre-trained models are available at:
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// https://github.com/tensorflow/models/tree/master/research/object_detection/data
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@@ -40,9 +40,9 @@ public class ExampleObjectDetection {
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// You can download pre-trained models directly from the zoo: https://github.com/tensorflow/models/blob/master/research/object_detection/g3doc/detection_model_zoo.md
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// Just use the notation <zoo model tar.gz url>#<name of the frozen model file name>
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// For performance reasons you may consider downloading the model locally and use the file:/<path to my model> URI instead!
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String model = "http://download.tensorflow.org/models/object_detection/faster_rcnn_nas_coco_2018_01_28.tar.gz#frozen_inference_graph.pb";
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//Resource model = resourceLoader.getResource("http://download.tensorflow.org/models/object_detection/faster_rcnn_resnet101_fgvc_2018_07_19.tar.gz#frozen_inference_graph.pb");
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//Resource model = resourceLoader.getResource("http://download.tensorflow.org/models/object_detection/faster_rcnn_resnet50_fgvc_2018_07_19.tar.gz#frozen_inference_graph.pb");
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String model = "https://download.tensorflow.org/models/object_detection/faster_rcnn_nas_coco_2018_01_28.tar.gz#frozen_inference_graph.pb";
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//Resource model = resourceLoader.getResource("https://download.tensorflow.org/models/object_detection/faster_rcnn_resnet101_fgvc_2018_07_19.tar.gz#frozen_inference_graph.pb");
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//Resource model = resourceLoader.getResource("https://download.tensorflow.org/models/object_detection/faster_rcnn_resnet50_fgvc_2018_07_19.tar.gz#frozen_inference_graph.pb");
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// All labels for the pre-trained models are available at:
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// https://github.com/tensorflow/models/tree/master/research/object_detection/data
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@@ -30,7 +30,7 @@ public class SimpleExample {
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public static void main(String[] args) {
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// Select a pre-trained model from the model zoo: https://github.com/tensorflow/models/blob/master/research/object_detection/g3doc/detection_model_zoo.md
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// Just use the notation <model zoo url>#<name of the frozen model file in the zoo's tar.gz>
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String model = "http://download.tensorflow.org/models/object_detection/ssd_mobilenet_v1_ppn_shared_box_predictor_300x300_coco14_sync_2018_07_03.tar.gz#frozen_inference_graph.pb";
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String model = "https://download.tensorflow.org/models/object_detection/ssd_mobilenet_v1_ppn_shared_box_predictor_300x300_coco14_sync_2018_07_03.tar.gz#frozen_inference_graph.pb";
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// All labels for the pre-trained models are available at: https://github.com/tensorflow/models/tree/master/research/object_detection/data
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String labels = "https://raw.githubusercontent.com/tensorflow/models/master/research/object_detection/data/mscoco_label_map.pbtxt";
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