head-detection-using-yolo
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pranoyr
Detection of head using YOLO
Bumps [tensorflow-gpu](https://github.com/tensorflow/tensorflow) from 1.15.4 to 2.7.2. Release notes Sourced from tensorflow-gpu's releases. TensorFlow 2.7.2 Release 2.7.2 This releases introduces several vulnerability fixes: Fixes a code injection in saved_model_cli (CVE-2022-29216) Fixes...
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Hi, the URL for the front-end weights has expired - [https://drive.google.com/file/d/1wg4q9cc6q04oRr_Xaf9GVhhbTSH4-ena/view?usp=sharing ](https://drive.google.com/file/d/1wg4q9cc6q04oRr_Xaf9GVhhbTSH4-ena/view?usp=sharing ) Could you please upload them again?
thx for sharing, I can download Images - https://drive.google.com/open?id=1zn-AGmsBqVheFPnDTXWBpeo3XRH1Ho15' , but cannot download:Annotations - https://drive.google.com/open?id=1LiTDMWk0KglGueJCaxgneEA_ltvEbUDV ,it says u have del it.
hello. In your code, it has provisions for multiple backend options(tiny_yolo, squeezenet, mobilenet, inception, vgg16, resnet50). could you tell me where to download these model(.h5) files ? thank you.
In your backend.py code, it has provisions for multiple backend options(tiny_yolo, squeezenet, mobilenet, inception, vgg16, resnet50). Where to download these model(.h5) files and its corresonding configurations in json?
