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Searched refs:image_paths (Results 1 – 5 of 5) sorted by relevance

/external/tensorflow/tensorflow/python/keras/preprocessing/
Dimage_dataset.py186 image_paths, labels, class_names = dataset_utils.index_directory(
200 image_paths, labels = dataset_utils.get_training_or_validation_split(
201 image_paths, labels, validation_split, subset)
202 if not image_paths:
206 image_paths=image_paths,
221 dataset.file_paths = image_paths
225 def paths_and_labels_to_dataset(image_paths, argument
235 path_ds = dataset_ops.Dataset.from_tensor_slices(image_paths)
/external/tensorflow/tensorflow/lite/tools/evaluation/tasks/coco_object_detection/
Drun_eval.cc113 std::vector<std::string> image_paths; in RunImpl() local
115 &image_paths) != kTfLiteOk) { in RunImpl()
145 const int step = image_paths.size() / 100; in RunImpl()
146 for (int i = 0; i < image_paths.size(); ++i) { in RunImpl()
151 const std::string image_name = GetNameFromPath(image_paths[i]); in RunImpl()
152 eval.SetInputs(image_paths[i], ground_truth_map[image_name]); in RunImpl()
/external/tensorflow/tensorflow/stream_executor/gpu/
Dasm_compiler.cc291 std::vector<std::string> image_paths; in BundleGpuAsm() local
302 image_paths.push_back(std::move(img_path)); in BundleGpuAsm()
304 auto image_files_cleaner = tensorflow::gtl::MakeCleanup([&image_paths] { in BundleGpuAsm()
305 for (const auto& path : image_paths) { in BundleGpuAsm()
327 assert(images.size() == image_paths.size()); in BundleGpuAsm()
330 "--image=profile=%s,file=%s", images[i].profile, image_paths[i])); in BundleGpuAsm()
386 std::vector<std::string> image_paths; in BundleGpuAsm() local
399 image_paths.push_back(std::move(img_path)); in BundleGpuAsm()
401 auto image_files_cleaner = tensorflow::gtl::MakeCleanup([&image_paths] { in BundleGpuAsm()
402 for (const auto& path : image_paths) { in BundleGpuAsm()
/external/pdfium/testing/tools/
Dsafetynet_image.py284 image_paths = glob.glob(image_path_matcher)
287 os.path.split(image_path)[1]: image_path for image_path in image_paths
Dtest_runner.py222 success, image_paths = result
224 if image_paths:
225 for img_path, md5_hash in image_paths: