![trainning errror: tensorflow.python.framework.errors_impl.InvalidArgumentError: assertion failed: [139] · Issue #141 · google/automl · GitHub trainning errror: tensorflow.python.framework.errors_impl.InvalidArgumentError: assertion failed: [139] · Issue #141 · google/automl · GitHub](https://user-images.githubusercontent.com/18287639/78851998-d1412780-7a4d-11ea-9f9a-290281e2e413.png)
trainning errror: tensorflow.python.framework.errors_impl.InvalidArgumentError: assertion failed: [139] · Issue #141 · google/automl · GitHub
![Building a Toy Detector with Tensorflow Object Detection API | by Priya Dwivedi | Towards Data Science Building a Toy Detector with Tensorflow Object Detection API | by Priya Dwivedi | Towards Data Science](https://miro.medium.com/freeze/max/600/1*726b_wRuqYwUm_5N3Tqg8Q.gif)
Building a Toy Detector with Tensorflow Object Detection API | by Priya Dwivedi | Towards Data Science
![Building a Toy Detector with Tensorflow Object Detection API | by Priya Dwivedi | Towards Data Science Building a Toy Detector with Tensorflow Object Detection API | by Priya Dwivedi | Towards Data Science](https://miro.medium.com/max/1274/1*j1JUAOzx49An4Dg_xmPovw.png)
Building a Toy Detector with Tensorflow Object Detection API | by Priya Dwivedi | Towards Data Science
detection-amlworkbench/create_pascal_tf_record.py at master · olgaliak/detection-amlworkbench · GitHub
tensorflow-deeplab-v3-plus/create_pascal_tf_record.py at master · rishizek/tensorflow-deeplab-v3-plus · GitHub
Custom-Faster-RCNN-Using-Tensorfow-Object-Detection-API/ create_pascal_tf_record.py at master · vijendra1125/Custom-Faster-RCNN-Using-Tensorfow-Object-Detection-API · GitHub
![Edge TPU Accelaratorの動作を少しでも高速化したかったのでダメ元でMobileNetv2-SSDLite(Pascal VOC)の.tfliteを生成してTPUモデルへコンパイルしようとした_その1 - Qiita Edge TPU Accelaratorの動作を少しでも高速化したかったのでダメ元でMobileNetv2-SSDLite(Pascal VOC)の.tfliteを生成してTPUモデルへコンパイルしようとした_その1 - Qiita](https://qiita-user-contents.imgix.net/https%3A%2F%2Fcdn.qiita.com%2Fassets%2Fpublic%2Farticle-ogp-background-9f5428127621718a910c8b63951390ad.png?ixlib=rb-4.0.0&w=1200&mark64=aHR0cHM6Ly9xaWl0YS11c2VyLWNvbnRlbnRzLmltZ2l4Lm5ldC9-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&mark-x=142&mark-y=112&blend64=aHR0cHM6Ly9xaWl0YS11c2VyLWNvbnRlbnRzLmltZ2l4Lm5ldC9-dGV4dD9peGxpYj1yYi00LjAuMCZ3PTYxNiZ0eHQ9JTQwUElOVE8mdHh0LWNvbG9yPSUyMzIxMjEyMSZ0eHQtZm9udD1IaXJhZ2lubyUyMFNhbnMlMjBXNiZ0eHQtc2l6ZT0zNiZ0eHQtYWxpZ249bGVmdCUyQ3RvcCZzPWEyYjdhNTBjOTM4ZTlkOTgyZjRmM2M3NTViMDFmN2Ji&blend-x=142&blend-y=491&blend-mode=normal&s=fef740fa2c1cf26cd9b27943a39affe1)
Edge TPU Accelaratorの動作を少しでも高速化したかったのでダメ元でMobileNetv2-SSDLite(Pascal VOC)の.tfliteを生成してTPUモデルへコンパイルしようとした_その1 - Qiita
![How to train your own Object Detector with TensorFlow's Object Detector API | by Dat Tran | Towards Data Science How to train your own Object Detector with TensorFlow's Object Detector API | by Dat Tran | Towards Data Science](https://miro.medium.com/fit/c/224/224/1*LwppdAMABraXCYADAeKN5g.png)