tensorflow logo – tensorflow c++ example
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Training, The Tensorflow Object Detection API has a python script for training called train,py, This script needs two arguments –pipeline_config_path and –train_dir, see below DeepLogo assumes that the current directory is under the DeepLogo directory and also the path of pre-trained SSD and tfrecord is the relative path from DeepLogo these paths are written in ssd_inception_v2,config,
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tensorflow logo
· logo-detector, A custom model trained using Tensorflow’s object detection API to detect some company logos in images/videos, Currently, the model does not perform well on some specific kinds of inputs because it was trained on a very small dataset,
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Logo detection in Images using SSD
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To ensure the word TensorFlow is always legible, the logo should never appear smaller than the following minimum sizes: DON’TS Our lockups are the go-to-branding element and cornerstone of the TensorFlow identity, Therefore, we care about them and how they are used, Here are a few examples of what not to do with them, Our color pallette is taken from the logo, built from white, shades and
TensorFlow
· Logo recognition in images and videos is the key problem in a wide range of applications, such as copyright infringement detection, vehicle logo for intelligent traffic-control systems, augmented reality, contextual advertise placement and others, In this post we will look on how to use SSD from Tensorflow API to detect as well as localize brand logos in images of a T,V, showBig Boss India
TensorFlow est une plate-forme Open Source de bout en bout dédiée au machine learning Elle propose un écosystème complet et flexible d’outils de bibliothèques et de ressources communautaires permettant aux chercheurs d’avancer dans le domaine du machine learning et aux développeurs de créer et de déployer facilement des applications qui exploitent cette technologie,
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