11/11/2023 0 Comments Downloading tensorflowImage downloaded to /tmpfs/tmp/tmpyj5lvt_p.jpg. Image downloaded to /tmpfs/tmp/tmp1cph5fng.jpg. Print("Inference time:",end_time-start_time) Image_path = download_and_resize_image(image_url, 640, 480) Perform inference on some additional images with time tracking. Print("Font not found, using default font.")įor i in range(min(boxes.shape, max_boxes)):ĭisplay_str = " """Overlay labeled boxes on an image with formatted scores and label names."""Ĭolors = list(())įont = uetype("/usr/share/fonts/truetype/liberation/LiberationSansNarrow-Regular.ttf", Text_width, text_height = bbox, bboxĭraw.rectangle([(left, text_bottom - text_height - 2 * margin),ĭraw.text((left + margin, text_bottom - text_height - margin),ĭef draw_boxes(image, boxes, class_names, scores, max_boxes=10, min_score=0.1): # Reverse list and print from bottom to top.įor display_str in display_str_list: Text_bottom = top + total_display_str_height Total_display_str_height = (1 + 2 * 0.05) * sum(display_str_heights) # Each display_str has a top and bottom margin of 0.05x. # box exceeds the top of the image, stack the strings below the bounding boxĭisplay_str_heights = for ds in display_str_list] # If the total height of the display strings added to the top of the bounding (left, right, top, bottom) = (xmin * im_width, xmax * im_width,ĭraw.line([(left, top), (left, bottom), (right, bottom), (right, top), Print("Image downloaded to %s." % filename) Pil_image_rgb.save(filename, format="JPEG", quality=90) Pil_image = ImageOps.fit(pil_image, (new_width, new_height), Image.LANCZOS) ![]() _, filename = tempfile.mkstemp(suffix=".jpg") ![]() def display_image(image):ĭef download_and_resize_image(url, new_width=256, new_height=256, Visualization code adapted from TF object detection API for the simplest required functionality. 22:55:55.086001: E tensorflow/compiler/xla/stream_executor/cuda/cuda_:268] failed call to cuInit: CUDA_ERROR_NO_DEVICE: no CUDA-capable device is detectedĮxample use Helper functions for downloading images and for visualization. 22:55:52.208279: E tensorflow/compiler/xla/stream_executor/cuda/cuda_:1518] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered 22:55:52.208242: E tensorflow/compiler/xla/stream_executor/cuda/cuda_fft.cc:609] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered 22:55:52.208191: E tensorflow/compiler/xla/stream_executor/cuda/cuda_dnn.cc:9342] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered Print("The following GPU devices are available: %s" % tf.test.gpu_device_name()) Toggle code # For running inference on the TF-Hub module.įrom import urlopen Java is a registered trademark of Oracle and/or its affiliates.This Colab demonstrates use of a TF-Hub module trained to perform object detection. For details, see the Google Developers Site Policies. 'label': ClassLabel(shape=(), dtype=int64, num_classes=5),Įxcept as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License, and code samples are licensed under the Apache 2.0 License. 'image': Image(shape=(None, None, 3), dtype=uint8), utokyo_xarm_pick_and_place_converted_externally_to_rlds.utokyo_xarm_bimanual_converted_externally_to_rlds.utokyo_saytap_converted_externally_to_rlds.utokyo_pr2_tabletop_manipulation_converted_externally_to_rlds.utokyo_pr2_opening_fridge_converted_externally_to_rlds.usc_cloth_sim_converted_externally_to_rlds.ucsd_pick_and_place_dataset_converted_externally_to_rlds.ucsd_kitchen_dataset_converted_externally_to_rlds.tokyo_u_lsmo_converted_externally_to_rlds.stanford_mask_vit_converted_externally_to_rlds.stanford_kuka_multimodal_dataset_converted_externally_to_rlds.stanford_hydra_dataset_converted_externally_to_rlds. ![]()
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