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--- coral [2022/11/25 23:33] – [Coral USB] gerald
+++ coral [2024/02/29 13:36] (aktuell) – Externe Bearbeitung 127.0.0.1
@@ Zeile 30: / Zeile 30: @@
 Object detection and image classification with Google Coral USB Accelerator ((https://pyimagesearch.com/2019/05/13/object-detection-and-image-classification-with-google-coral-usb-accelerator/))
+Video : https://coral.ai/docs/dev-board/camera/#view-with-a-streaming-server
+Use Coral Edge TPUs to run TFlite models in Node with TensorFlow.js: [[https://codelabs.developers.google.com/tensorflowjs-coral-tflite-node#0]]
+X-LINUX-AI - object detection using Coral Edge TPU TensorFlow Lite C++ API : [[https://wiki.stmicroelectronics.cn/stm32mpu/wiki/X-LINUX-AI_-_object_detection_using_Coral_Edge_TPU_TensorFlow_Lite_C%2B%2B_API]]
+==== Beispiele ====
+=== semantic_segmentation.py ===
+Fehler in 'semantic_segmentation.py':
+Zeile 131:
+<code>
+output_img.paste(mask_img, (width, 0))
+</code>
+muss heissen:
+<code>
+output_img.paste(mask_img, (new_width, 0))
+</code>
+Imagemagick -
+Trimming with a Specific Color: [[https://legacy.imagemagick.org/Usage/crop/#trim_color]]
+===== STM32MP1 =====
+[[https://wiki.st.com/stm32mpu/wiki/How_to_compile_model_and_run_inference_on_Coral_Edge_TPU_using_STM32MP1]]
 ===== Models =====
 [[https://helloworld.co.in/article/model-garden-testing-20-machine-learning-models-raspberry-pi]]
+===== Projekte =====
+Body segmentation https://blog.tensorflow.org/2019/11/updated-bodypix-2.html

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coral.1669419214.txt.gz · Zuletzt geändert: 2024/02/29 13:35 (Externe Bearbeitung)

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