Python object_detection.utils.object_detection_evaluation.WeightedPascalDetectionEvaluator() Examples
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Example #1
Source File: object_detection_evaluation_test.py From MAX-Object-Detector with Apache License 2.0 | 6 votes |
def test_value_error_on_duplicate_images(self): # Add groundtruth self.wp_eval = ( object_detection_evaluation.WeightedPascalDetectionEvaluator( self.categories)) image_key1 = 'img1' groundtruth_boxes1 = np.array([[0, 0, 1, 1], [0, 0, 2, 2], [0, 0, 3, 3]], dtype=float) groundtruth_class_labels1 = np.array([1, 3, 1], dtype=int) self.wp_eval.add_single_ground_truth_image_info( image_key1, {standard_fields.InputDataFields.groundtruth_boxes: groundtruth_boxes1, standard_fields.InputDataFields.groundtruth_classes: groundtruth_class_labels1}) with self.assertRaises(ValueError): self.wp_eval.add_single_ground_truth_image_info( image_key1, {standard_fields.InputDataFields.groundtruth_boxes: groundtruth_boxes1, standard_fields.InputDataFields.groundtruth_classes: groundtruth_class_labels1})
Example #2
Source File: object_detection_evaluation_test.py From Elphas with Apache License 2.0 | 6 votes |
def test_value_error_on_duplicate_images(self): # Add groundtruth self.wp_eval = ( object_detection_evaluation.WeightedPascalDetectionEvaluator( self.categories)) image_key1 = 'img1' groundtruth_boxes1 = np.array([[0, 0, 1, 1], [0, 0, 2, 2], [0, 0, 3, 3]], dtype=float) groundtruth_class_labels1 = np.array([1, 3, 1], dtype=int) self.wp_eval.add_single_ground_truth_image_info( image_key1, {standard_fields.InputDataFields.groundtruth_boxes: groundtruth_boxes1, standard_fields.InputDataFields.groundtruth_classes: groundtruth_class_labels1}) with self.assertRaises(ValueError): self.wp_eval.add_single_ground_truth_image_info( image_key1, {standard_fields.InputDataFields.groundtruth_boxes: groundtruth_boxes1, standard_fields.InputDataFields.groundtruth_classes: groundtruth_class_labels1})
Example #3
Source File: object_detection_evaluation_test.py From object_detection_with_tensorflow with MIT License | 6 votes |
def create_and_add_common_ground_truth(self): # Add groundtruth self.wp_eval = ( object_detection_evaluation.WeightedPascalDetectionEvaluator( self.categories)) image_key1 = 'img1' groundtruth_boxes1 = np.array([[0, 0, 1, 1], [0, 0, 2, 2], [0, 0, 3, 3]], dtype=float) groundtruth_class_labels1 = np.array([1, 3, 1], dtype=int) self.wp_eval.add_single_ground_truth_image_info( image_key1, {standard_fields.InputDataFields.groundtruth_boxes: groundtruth_boxes1, standard_fields.InputDataFields.groundtruth_classes: groundtruth_class_labels1}) # add 'img2' separately image_key3 = 'img3' groundtruth_boxes3 = np.array([[0, 0, 1, 1]], dtype=float) groundtruth_class_labels3 = np.array([2], dtype=int) self.wp_eval.add_single_ground_truth_image_info( image_key3, {standard_fields.InputDataFields.groundtruth_boxes: groundtruth_boxes3, standard_fields.InputDataFields.groundtruth_classes: groundtruth_class_labels3})
Example #4
Source File: object_detection_evaluation_test.py From object_detection_with_tensorflow with MIT License | 6 votes |
def test_value_error_on_duplicate_images(self): # Add groundtruth self.wp_eval = ( object_detection_evaluation.WeightedPascalDetectionEvaluator( self.categories)) image_key1 = 'img1' groundtruth_boxes1 = np.array([[0, 0, 1, 1], [0, 0, 2, 2], [0, 0, 3, 3]], dtype=float) groundtruth_class_labels1 = np.array([1, 3, 1], dtype=int) self.wp_eval.add_single_ground_truth_image_info( image_key1, {standard_fields.InputDataFields.groundtruth_boxes: groundtruth_boxes1, standard_fields.InputDataFields.groundtruth_classes: groundtruth_class_labels1}) with self.assertRaises(ValueError): self.wp_eval.add_single_ground_truth_image_info( image_key1, {standard_fields.InputDataFields.groundtruth_boxes: groundtruth_boxes1, standard_fields.InputDataFields.groundtruth_classes: groundtruth_class_labels1})
Example #5
Source File: object_detection_evaluation_test.py From object_detection_with_tensorflow with MIT License | 6 votes |
def create_and_add_common_ground_truth(self): # Add groundtruth self.wp_eval = ( object_detection_evaluation.WeightedPascalDetectionEvaluator( self.categories)) image_key1 = 'img1' groundtruth_boxes1 = np.array([[0, 0, 1, 1], [0, 0, 2, 2], [0, 0, 3, 3]], dtype=float) groundtruth_class_labels1 = np.array([1, 3, 1], dtype=int) self.wp_eval.add_single_ground_truth_image_info( image_key1, {standard_fields.InputDataFields.groundtruth_boxes: groundtruth_boxes1, standard_fields.InputDataFields.groundtruth_classes: groundtruth_class_labels1}) # add 'img2' separately image_key3 = 'img3' groundtruth_boxes3 = np.array([[0, 0, 1, 1]], dtype=float) groundtruth_class_labels3 = np.array([2], dtype=int) self.wp_eval.add_single_ground_truth_image_info( image_key3, {standard_fields.InputDataFields.groundtruth_boxes: groundtruth_boxes3, standard_fields.InputDataFields.groundtruth_classes: groundtruth_class_labels3})
Example #6
Source File: object_detection_evaluation_test.py From object_detection_with_tensorflow with MIT License | 6 votes |
def test_value_error_on_duplicate_images(self): # Add groundtruth self.wp_eval = ( object_detection_evaluation.WeightedPascalDetectionEvaluator( self.categories)) image_key1 = 'img1' groundtruth_boxes1 = np.array([[0, 0, 1, 1], [0, 0, 2, 2], [0, 0, 3, 3]], dtype=float) groundtruth_class_labels1 = np.array([1, 3, 1], dtype=int) self.wp_eval.add_single_ground_truth_image_info( image_key1, {standard_fields.InputDataFields.groundtruth_boxes: groundtruth_boxes1, standard_fields.InputDataFields.groundtruth_classes: groundtruth_class_labels1}) with self.assertRaises(ValueError): self.wp_eval.add_single_ground_truth_image_info( image_key1, {standard_fields.InputDataFields.groundtruth_boxes: groundtruth_boxes1, standard_fields.InputDataFields.groundtruth_classes: groundtruth_class_labels1})
Example #7
Source File: object_detection_evaluation_test.py From AniSeg with Apache License 2.0 | 6 votes |
def create_and_add_common_ground_truth(self): # Add groundtruth self.wp_eval = ( object_detection_evaluation.WeightedPascalDetectionEvaluator( self.categories)) image_key1 = 'img1' groundtruth_boxes1 = np.array([[0, 0, 1, 1], [0, 0, 2, 2], [0, 0, 3, 3]], dtype=float) groundtruth_class_labels1 = np.array([1, 3, 1], dtype=int) self.wp_eval.add_single_ground_truth_image_info( image_key1, {standard_fields.InputDataFields.groundtruth_boxes: groundtruth_boxes1, standard_fields.InputDataFields.groundtruth_classes: groundtruth_class_labels1}) # add 'img2' separately image_key3 = 'img3' groundtruth_boxes3 = np.array([[0, 0, 1, 1]], dtype=float) groundtruth_class_labels3 = np.array([2], dtype=int) self.wp_eval.add_single_ground_truth_image_info( image_key3, {standard_fields.InputDataFields.groundtruth_boxes: groundtruth_boxes3, standard_fields.InputDataFields.groundtruth_classes: groundtruth_class_labels3})
Example #8
Source File: object_detection_evaluation_test.py From AniSeg with Apache License 2.0 | 6 votes |
def test_value_error_on_duplicate_images(self): # Add groundtruth self.wp_eval = ( object_detection_evaluation.WeightedPascalDetectionEvaluator( self.categories)) image_key1 = 'img1' groundtruth_boxes1 = np.array([[0, 0, 1, 1], [0, 0, 2, 2], [0, 0, 3, 3]], dtype=float) groundtruth_class_labels1 = np.array([1, 3, 1], dtype=int) self.wp_eval.add_single_ground_truth_image_info( image_key1, {standard_fields.InputDataFields.groundtruth_boxes: groundtruth_boxes1, standard_fields.InputDataFields.groundtruth_classes: groundtruth_class_labels1}) with self.assertRaises(ValueError): self.wp_eval.add_single_ground_truth_image_info( image_key1, {standard_fields.InputDataFields.groundtruth_boxes: groundtruth_boxes1, standard_fields.InputDataFields.groundtruth_classes: groundtruth_class_labels1})
Example #9
Source File: object_detection_evaluation_test.py From MAX-Object-Detector with Apache License 2.0 | 6 votes |
def create_and_add_common_ground_truth(self): # Add groundtruth self.wp_eval = ( object_detection_evaluation.WeightedPascalDetectionEvaluator( self.categories)) image_key1 = 'img1' groundtruth_boxes1 = np.array([[0, 0, 1, 1], [0, 0, 2, 2], [0, 0, 3, 3]], dtype=float) groundtruth_class_labels1 = np.array([1, 3, 1], dtype=int) self.wp_eval.add_single_ground_truth_image_info( image_key1, {standard_fields.InputDataFields.groundtruth_boxes: groundtruth_boxes1, standard_fields.InputDataFields.groundtruth_classes: groundtruth_class_labels1}) # add 'img2' separately image_key3 = 'img3' groundtruth_boxes3 = np.array([[0, 0, 1, 1]], dtype=float) groundtruth_class_labels3 = np.array([2], dtype=int) self.wp_eval.add_single_ground_truth_image_info( image_key3, {standard_fields.InputDataFields.groundtruth_boxes: groundtruth_boxes3, standard_fields.InputDataFields.groundtruth_classes: groundtruth_class_labels3})
Example #10
Source File: object_detection_evaluation_test.py From Elphas with Apache License 2.0 | 6 votes |
def create_and_add_common_ground_truth(self): # Add groundtruth self.wp_eval = ( object_detection_evaluation.WeightedPascalDetectionEvaluator( self.categories)) image_key1 = 'img1' groundtruth_boxes1 = np.array([[0, 0, 1, 1], [0, 0, 2, 2], [0, 0, 3, 3]], dtype=float) groundtruth_class_labels1 = np.array([1, 3, 1], dtype=int) self.wp_eval.add_single_ground_truth_image_info( image_key1, {standard_fields.InputDataFields.groundtruth_boxes: groundtruth_boxes1, standard_fields.InputDataFields.groundtruth_classes: groundtruth_class_labels1}) # add 'img2' separately image_key3 = 'img3' groundtruth_boxes3 = np.array([[0, 0, 1, 1]], dtype=float) groundtruth_class_labels3 = np.array([2], dtype=int) self.wp_eval.add_single_ground_truth_image_info( image_key3, {standard_fields.InputDataFields.groundtruth_boxes: groundtruth_boxes3, standard_fields.InputDataFields.groundtruth_classes: groundtruth_class_labels3})
Example #11
Source File: object_detection_evaluation_test.py From open-solution-googleai-object-detection with MIT License | 6 votes |
def create_and_add_common_ground_truth(self): # Add groundtruth self.wp_eval = ( object_detection_evaluation.WeightedPascalDetectionEvaluator( self.categories)) image_key1 = 'img1' groundtruth_boxes1 = np.array([[0, 0, 1, 1], [0, 0, 2, 2], [0, 0, 3, 3]], dtype=float) groundtruth_class_labels1 = np.array([1, 3, 1], dtype=int) self.wp_eval.add_single_ground_truth_image_info( image_key1, {standard_fields.InputDataFields.groundtruth_boxes: groundtruth_boxes1, standard_fields.InputDataFields.groundtruth_classes: groundtruth_class_labels1}) # add 'img2' separately image_key3 = 'img3' groundtruth_boxes3 = np.array([[0, 0, 1, 1]], dtype=float) groundtruth_class_labels3 = np.array([2], dtype=int) self.wp_eval.add_single_ground_truth_image_info( image_key3, {standard_fields.InputDataFields.groundtruth_boxes: groundtruth_boxes3, standard_fields.InputDataFields.groundtruth_classes: groundtruth_class_labels3})
Example #12
Source File: object_detection_evaluation_test.py From open-solution-googleai-object-detection with MIT License | 6 votes |
def test_value_error_on_duplicate_images(self): # Add groundtruth self.wp_eval = ( object_detection_evaluation.WeightedPascalDetectionEvaluator( self.categories)) image_key1 = 'img1' groundtruth_boxes1 = np.array([[0, 0, 1, 1], [0, 0, 2, 2], [0, 0, 3, 3]], dtype=float) groundtruth_class_labels1 = np.array([1, 3, 1], dtype=int) self.wp_eval.add_single_ground_truth_image_info( image_key1, {standard_fields.InputDataFields.groundtruth_boxes: groundtruth_boxes1, standard_fields.InputDataFields.groundtruth_classes: groundtruth_class_labels1}) with self.assertRaises(ValueError): self.wp_eval.add_single_ground_truth_image_info( image_key1, {standard_fields.InputDataFields.groundtruth_boxes: groundtruth_boxes1, standard_fields.InputDataFields.groundtruth_classes: groundtruth_class_labels1})
Example #13
Source File: object_detection_evaluation_test.py From g-tensorflow-models with Apache License 2.0 | 6 votes |
def create_and_add_common_ground_truth(self): # Add groundtruth self.wp_eval = ( object_detection_evaluation.WeightedPascalDetectionEvaluator( self.categories)) image_key1 = 'img1' groundtruth_boxes1 = np.array([[0, 0, 1, 1], [0, 0, 2, 2], [0, 0, 3, 3]], dtype=float) groundtruth_class_labels1 = np.array([1, 3, 1], dtype=int) self.wp_eval.add_single_ground_truth_image_info( image_key1, {standard_fields.InputDataFields.groundtruth_boxes: groundtruth_boxes1, standard_fields.InputDataFields.groundtruth_classes: groundtruth_class_labels1}) # add 'img2' separately image_key3 = 'img3' groundtruth_boxes3 = np.array([[0, 0, 1, 1]], dtype=float) groundtruth_class_labels3 = np.array([2], dtype=int) self.wp_eval.add_single_ground_truth_image_info( image_key3, {standard_fields.InputDataFields.groundtruth_boxes: groundtruth_boxes3, standard_fields.InputDataFields.groundtruth_classes: groundtruth_class_labels3})
Example #14
Source File: object_detection_evaluation_test.py From g-tensorflow-models with Apache License 2.0 | 6 votes |
def test_value_error_on_duplicate_images(self): # Add groundtruth self.wp_eval = ( object_detection_evaluation.WeightedPascalDetectionEvaluator( self.categories)) image_key1 = 'img1' groundtruth_boxes1 = np.array([[0, 0, 1, 1], [0, 0, 2, 2], [0, 0, 3, 3]], dtype=float) groundtruth_class_labels1 = np.array([1, 3, 1], dtype=int) self.wp_eval.add_single_ground_truth_image_info( image_key1, {standard_fields.InputDataFields.groundtruth_boxes: groundtruth_boxes1, standard_fields.InputDataFields.groundtruth_classes: groundtruth_class_labels1}) with self.assertRaises(ValueError): self.wp_eval.add_single_ground_truth_image_info( image_key1, {standard_fields.InputDataFields.groundtruth_boxes: groundtruth_boxes1, standard_fields.InputDataFields.groundtruth_classes: groundtruth_class_labels1})
Example #15
Source File: object_detection_evaluation_test.py From models with Apache License 2.0 | 6 votes |
def create_and_add_common_ground_truth(self): # Add groundtruth self.wp_eval = ( object_detection_evaluation.WeightedPascalDetectionEvaluator( self.categories)) image_key1 = 'img1' groundtruth_boxes1 = np.array([[0, 0, 1, 1], [0, 0, 2, 2], [0, 0, 3, 3]], dtype=float) groundtruth_class_labels1 = np.array([1, 3, 1], dtype=int) self.wp_eval.add_single_ground_truth_image_info( image_key1, {standard_fields.InputDataFields.groundtruth_boxes: groundtruth_boxes1, standard_fields.InputDataFields.groundtruth_classes: groundtruth_class_labels1}) # add 'img2' separately image_key3 = 'img3' groundtruth_boxes3 = np.array([[0, 0, 1, 1]], dtype=float) groundtruth_class_labels3 = np.array([2], dtype=int) self.wp_eval.add_single_ground_truth_image_info( image_key3, {standard_fields.InputDataFields.groundtruth_boxes: groundtruth_boxes3, standard_fields.InputDataFields.groundtruth_classes: groundtruth_class_labels3})
Example #16
Source File: object_detection_evaluation_test.py From models with Apache License 2.0 | 6 votes |
def test_value_error_on_duplicate_images(self): # Add groundtruth self.wp_eval = ( object_detection_evaluation.WeightedPascalDetectionEvaluator( self.categories)) image_key1 = 'img1' groundtruth_boxes1 = np.array([[0, 0, 1, 1], [0, 0, 2, 2], [0, 0, 3, 3]], dtype=float) groundtruth_class_labels1 = np.array([1, 3, 1], dtype=int) self.wp_eval.add_single_ground_truth_image_info( image_key1, {standard_fields.InputDataFields.groundtruth_boxes: groundtruth_boxes1, standard_fields.InputDataFields.groundtruth_classes: groundtruth_class_labels1}) with self.assertRaises(ValueError): self.wp_eval.add_single_ground_truth_image_info( image_key1, {standard_fields.InputDataFields.groundtruth_boxes: groundtruth_boxes1, standard_fields.InputDataFields.groundtruth_classes: groundtruth_class_labels1})
Example #17
Source File: object_detection_evaluation_test.py From multilabel-image-classification-tensorflow with MIT License | 6 votes |
def create_and_add_common_ground_truth(self): # Add groundtruth self.wp_eval = ( object_detection_evaluation.WeightedPascalDetectionEvaluator( self.categories)) image_key1 = 'img1' groundtruth_boxes1 = np.array([[0, 0, 1, 1], [0, 0, 2, 2], [0, 0, 3, 3]], dtype=float) groundtruth_class_labels1 = np.array([1, 3, 1], dtype=int) self.wp_eval.add_single_ground_truth_image_info( image_key1, {standard_fields.InputDataFields.groundtruth_boxes: groundtruth_boxes1, standard_fields.InputDataFields.groundtruth_classes: groundtruth_class_labels1}) # add 'img2' separately image_key3 = 'img3' groundtruth_boxes3 = np.array([[0, 0, 1, 1]], dtype=float) groundtruth_class_labels3 = np.array([2], dtype=int) self.wp_eval.add_single_ground_truth_image_info( image_key3, {standard_fields.InputDataFields.groundtruth_boxes: groundtruth_boxes3, standard_fields.InputDataFields.groundtruth_classes: groundtruth_class_labels3})
Example #18
Source File: object_detection_evaluation_test.py From multilabel-image-classification-tensorflow with MIT License | 6 votes |
def test_value_error_on_duplicate_images(self): # Add groundtruth self.wp_eval = ( object_detection_evaluation.WeightedPascalDetectionEvaluator( self.categories)) image_key1 = 'img1' groundtruth_boxes1 = np.array([[0, 0, 1, 1], [0, 0, 2, 2], [0, 0, 3, 3]], dtype=float) groundtruth_class_labels1 = np.array([1, 3, 1], dtype=int) self.wp_eval.add_single_ground_truth_image_info( image_key1, {standard_fields.InputDataFields.groundtruth_boxes: groundtruth_boxes1, standard_fields.InputDataFields.groundtruth_classes: groundtruth_class_labels1}) with self.assertRaises(ValueError): self.wp_eval.add_single_ground_truth_image_info( image_key1, {standard_fields.InputDataFields.groundtruth_boxes: groundtruth_boxes1, standard_fields.InputDataFields.groundtruth_classes: groundtruth_class_labels1})
Example #19
Source File: object_detection_evaluation_test.py From Traffic-Rule-Violation-Detection-System with MIT License | 6 votes |
def test_value_error_on_duplicate_images(self): # Add groundtruth self.wp_eval = ( object_detection_evaluation.WeightedPascalDetectionEvaluator( self.categories)) image_key1 = 'img1' groundtruth_boxes1 = np.array([[0, 0, 1, 1], [0, 0, 2, 2], [0, 0, 3, 3]], dtype=float) groundtruth_class_labels1 = np.array([1, 3, 1], dtype=int) self.wp_eval.add_single_ground_truth_image_info( image_key1, {standard_fields.InputDataFields.groundtruth_boxes: groundtruth_boxes1, standard_fields.InputDataFields.groundtruth_classes: groundtruth_class_labels1}) with self.assertRaises(ValueError): self.wp_eval.add_single_ground_truth_image_info( image_key1, {standard_fields.InputDataFields.groundtruth_boxes: groundtruth_boxes1, standard_fields.InputDataFields.groundtruth_classes: groundtruth_class_labels1})
Example #20
Source File: object_detection_evaluation_test.py From vehicle_counting_tensorflow with MIT License | 6 votes |
def test_value_error_on_duplicate_images(self): # Add groundtruth self.wp_eval = ( object_detection_evaluation.WeightedPascalDetectionEvaluator( self.categories)) image_key1 = 'img1' groundtruth_boxes1 = np.array([[0, 0, 1, 1], [0, 0, 2, 2], [0, 0, 3, 3]], dtype=float) groundtruth_class_labels1 = np.array([1, 3, 1], dtype=int) self.wp_eval.add_single_ground_truth_image_info( image_key1, {standard_fields.InputDataFields.groundtruth_boxes: groundtruth_boxes1, standard_fields.InputDataFields.groundtruth_classes: groundtruth_class_labels1}) with self.assertRaises(ValueError): self.wp_eval.add_single_ground_truth_image_info( image_key1, {standard_fields.InputDataFields.groundtruth_boxes: groundtruth_boxes1, standard_fields.InputDataFields.groundtruth_classes: groundtruth_class_labels1})
Example #21
Source File: object_detection_evaluation_test.py From ros_people_object_detection_tensorflow with Apache License 2.0 | 6 votes |
def create_and_add_common_ground_truth(self): # Add groundtruth self.wp_eval = ( object_detection_evaluation.WeightedPascalDetectionEvaluator( self.categories)) image_key1 = 'img1' groundtruth_boxes1 = np.array([[0, 0, 1, 1], [0, 0, 2, 2], [0, 0, 3, 3]], dtype=float) groundtruth_class_labels1 = np.array([1, 3, 1], dtype=int) self.wp_eval.add_single_ground_truth_image_info( image_key1, {standard_fields.InputDataFields.groundtruth_boxes: groundtruth_boxes1, standard_fields.InputDataFields.groundtruth_classes: groundtruth_class_labels1}) # add 'img2' separately image_key3 = 'img3' groundtruth_boxes3 = np.array([[0, 0, 1, 1]], dtype=float) groundtruth_class_labels3 = np.array([2], dtype=int) self.wp_eval.add_single_ground_truth_image_info( image_key3, {standard_fields.InputDataFields.groundtruth_boxes: groundtruth_boxes3, standard_fields.InputDataFields.groundtruth_classes: groundtruth_class_labels3})
Example #22
Source File: object_detection_evaluation_test.py From ros_people_object_detection_tensorflow with Apache License 2.0 | 6 votes |
def test_value_error_on_duplicate_images(self): # Add groundtruth self.wp_eval = ( object_detection_evaluation.WeightedPascalDetectionEvaluator( self.categories)) image_key1 = 'img1' groundtruth_boxes1 = np.array([[0, 0, 1, 1], [0, 0, 2, 2], [0, 0, 3, 3]], dtype=float) groundtruth_class_labels1 = np.array([1, 3, 1], dtype=int) self.wp_eval.add_single_ground_truth_image_info( image_key1, {standard_fields.InputDataFields.groundtruth_boxes: groundtruth_boxes1, standard_fields.InputDataFields.groundtruth_classes: groundtruth_class_labels1}) with self.assertRaises(ValueError): self.wp_eval.add_single_ground_truth_image_info( image_key1, {standard_fields.InputDataFields.groundtruth_boxes: groundtruth_boxes1, standard_fields.InputDataFields.groundtruth_classes: groundtruth_class_labels1})
Example #23
Source File: object_detection_evaluation_test.py From Person-Detection-and-Tracking with MIT License | 6 votes |
def create_and_add_common_ground_truth(self): # Add groundtruth self.wp_eval = ( object_detection_evaluation.WeightedPascalDetectionEvaluator( self.categories)) image_key1 = 'img1' groundtruth_boxes1 = np.array([[0, 0, 1, 1], [0, 0, 2, 2], [0, 0, 3, 3]], dtype=float) groundtruth_class_labels1 = np.array([1, 3, 1], dtype=int) self.wp_eval.add_single_ground_truth_image_info( image_key1, {standard_fields.InputDataFields.groundtruth_boxes: groundtruth_boxes1, standard_fields.InputDataFields.groundtruth_classes: groundtruth_class_labels1}) # add 'img2' separately image_key3 = 'img3' groundtruth_boxes3 = np.array([[0, 0, 1, 1]], dtype=float) groundtruth_class_labels3 = np.array([2], dtype=int) self.wp_eval.add_single_ground_truth_image_info( image_key3, {standard_fields.InputDataFields.groundtruth_boxes: groundtruth_boxes3, standard_fields.InputDataFields.groundtruth_classes: groundtruth_class_labels3})
Example #24
Source File: object_detection_evaluation_test.py From Person-Detection-and-Tracking with MIT License | 6 votes |
def test_value_error_on_duplicate_images(self): # Add groundtruth self.wp_eval = ( object_detection_evaluation.WeightedPascalDetectionEvaluator( self.categories)) image_key1 = 'img1' groundtruth_boxes1 = np.array([[0, 0, 1, 1], [0, 0, 2, 2], [0, 0, 3, 3]], dtype=float) groundtruth_class_labels1 = np.array([1, 3, 1], dtype=int) self.wp_eval.add_single_ground_truth_image_info( image_key1, {standard_fields.InputDataFields.groundtruth_boxes: groundtruth_boxes1, standard_fields.InputDataFields.groundtruth_classes: groundtruth_class_labels1}) with self.assertRaises(ValueError): self.wp_eval.add_single_ground_truth_image_info( image_key1, {standard_fields.InputDataFields.groundtruth_boxes: groundtruth_boxes1, standard_fields.InputDataFields.groundtruth_classes: groundtruth_class_labels1})
Example #25
Source File: object_detection_evaluation_test.py From yolo_v2 with Apache License 2.0 | 6 votes |
def create_and_add_common_ground_truth(self): # Add groundtruth self.wp_eval = ( object_detection_evaluation.WeightedPascalDetectionEvaluator( self.categories)) image_key1 = 'img1' groundtruth_boxes1 = np.array([[0, 0, 1, 1], [0, 0, 2, 2], [0, 0, 3, 3]], dtype=float) groundtruth_class_labels1 = np.array([1, 3, 1], dtype=int) self.wp_eval.add_single_ground_truth_image_info( image_key1, {standard_fields.InputDataFields.groundtruth_boxes: groundtruth_boxes1, standard_fields.InputDataFields.groundtruth_classes: groundtruth_class_labels1}) # add 'img2' separately image_key3 = 'img3' groundtruth_boxes3 = np.array([[0, 0, 1, 1]], dtype=float) groundtruth_class_labels3 = np.array([2], dtype=int) self.wp_eval.add_single_ground_truth_image_info( image_key3, {standard_fields.InputDataFields.groundtruth_boxes: groundtruth_boxes3, standard_fields.InputDataFields.groundtruth_classes: groundtruth_class_labels3})
Example #26
Source File: object_detection_evaluation_test.py From yolo_v2 with Apache License 2.0 | 6 votes |
def test_value_error_on_duplicate_images(self): # Add groundtruth self.wp_eval = ( object_detection_evaluation.WeightedPascalDetectionEvaluator( self.categories)) image_key1 = 'img1' groundtruth_boxes1 = np.array([[0, 0, 1, 1], [0, 0, 2, 2], [0, 0, 3, 3]], dtype=float) groundtruth_class_labels1 = np.array([1, 3, 1], dtype=int) self.wp_eval.add_single_ground_truth_image_info( image_key1, {standard_fields.InputDataFields.groundtruth_boxes: groundtruth_boxes1, standard_fields.InputDataFields.groundtruth_classes: groundtruth_class_labels1}) with self.assertRaises(ValueError): self.wp_eval.add_single_ground_truth_image_info( image_key1, {standard_fields.InputDataFields.groundtruth_boxes: groundtruth_boxes1, standard_fields.InputDataFields.groundtruth_classes: groundtruth_class_labels1})
Example #27
Source File: object_detection_evaluation_test.py From Traffic-Rule-Violation-Detection-System with MIT License | 6 votes |
def create_and_add_common_ground_truth(self): # Add groundtruth self.wp_eval = ( object_detection_evaluation.WeightedPascalDetectionEvaluator( self.categories)) image_key1 = 'img1' groundtruth_boxes1 = np.array([[0, 0, 1, 1], [0, 0, 2, 2], [0, 0, 3, 3]], dtype=float) groundtruth_class_labels1 = np.array([1, 3, 1], dtype=int) self.wp_eval.add_single_ground_truth_image_info( image_key1, {standard_fields.InputDataFields.groundtruth_boxes: groundtruth_boxes1, standard_fields.InputDataFields.groundtruth_classes: groundtruth_class_labels1}) # add 'img2' separately image_key3 = 'img3' groundtruth_boxes3 = np.array([[0, 0, 1, 1]], dtype=float) groundtruth_class_labels3 = np.array([2], dtype=int) self.wp_eval.add_single_ground_truth_image_info( image_key3, {standard_fields.InputDataFields.groundtruth_boxes: groundtruth_boxes3, standard_fields.InputDataFields.groundtruth_classes: groundtruth_class_labels3})
Example #28
Source File: object_detection_evaluation_test.py From vehicle_counting_tensorflow with MIT License | 6 votes |
def create_and_add_common_ground_truth(self): # Add groundtruth self.wp_eval = ( object_detection_evaluation.WeightedPascalDetectionEvaluator( self.categories)) image_key1 = 'img1' groundtruth_boxes1 = np.array([[0, 0, 1, 1], [0, 0, 2, 2], [0, 0, 3, 3]], dtype=float) groundtruth_class_labels1 = np.array([1, 3, 1], dtype=int) self.wp_eval.add_single_ground_truth_image_info( image_key1, {standard_fields.InputDataFields.groundtruth_boxes: groundtruth_boxes1, standard_fields.InputDataFields.groundtruth_classes: groundtruth_class_labels1}) # add 'img2' separately image_key3 = 'img3' groundtruth_boxes3 = np.array([[0, 0, 1, 1]], dtype=float) groundtruth_class_labels3 = np.array([2], dtype=int) self.wp_eval.add_single_ground_truth_image_info( image_key3, {standard_fields.InputDataFields.groundtruth_boxes: groundtruth_boxes3, standard_fields.InputDataFields.groundtruth_classes: groundtruth_class_labels3})
Example #29
Source File: object_detection_evaluation_test.py From Gun-Detector with Apache License 2.0 | 6 votes |
def create_and_add_common_ground_truth(self): # Add groundtruth self.wp_eval = ( object_detection_evaluation.WeightedPascalDetectionEvaluator( self.categories)) image_key1 = 'img1' groundtruth_boxes1 = np.array([[0, 0, 1, 1], [0, 0, 2, 2], [0, 0, 3, 3]], dtype=float) groundtruth_class_labels1 = np.array([1, 3, 1], dtype=int) self.wp_eval.add_single_ground_truth_image_info( image_key1, {standard_fields.InputDataFields.groundtruth_boxes: groundtruth_boxes1, standard_fields.InputDataFields.groundtruth_classes: groundtruth_class_labels1}) # add 'img2' separately image_key3 = 'img3' groundtruth_boxes3 = np.array([[0, 0, 1, 1]], dtype=float) groundtruth_class_labels3 = np.array([2], dtype=int) self.wp_eval.add_single_ground_truth_image_info( image_key3, {standard_fields.InputDataFields.groundtruth_boxes: groundtruth_boxes3, standard_fields.InputDataFields.groundtruth_classes: groundtruth_class_labels3})
Example #30
Source File: object_detection_evaluation_test.py From Gun-Detector with Apache License 2.0 | 6 votes |
def test_value_error_on_duplicate_images(self): # Add groundtruth self.wp_eval = ( object_detection_evaluation.WeightedPascalDetectionEvaluator( self.categories)) image_key1 = 'img1' groundtruth_boxes1 = np.array([[0, 0, 1, 1], [0, 0, 2, 2], [0, 0, 3, 3]], dtype=float) groundtruth_class_labels1 = np.array([1, 3, 1], dtype=int) self.wp_eval.add_single_ground_truth_image_info( image_key1, {standard_fields.InputDataFields.groundtruth_boxes: groundtruth_boxes1, standard_fields.InputDataFields.groundtruth_classes: groundtruth_class_labels1}) with self.assertRaises(ValueError): self.wp_eval.add_single_ground_truth_image_info( image_key1, {standard_fields.InputDataFields.groundtruth_boxes: groundtruth_boxes1, standard_fields.InputDataFields.groundtruth_classes: groundtruth_class_labels1})