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GstInference/Example pipelines/TX2: Difference between revisions
GstInference/Example pipelines/TX2 (view source)
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{{DISPLAYTITLE:GstInference - <descriptive page name>|noerror}} | {{DISPLAYTITLE:GstInference - <descriptive page name>|noerror}} | ||
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{{DISPLAYTITLE:GstInference TX2 GStreamer pipelines|noerror}} | |||
__TOC__ | __TOC__ | ||
= Tensorflow = | == Tensorflow == | ||
== Inceptionv4 inference on image file using Tensorflow == | === Inceptionv4 inference on image file using Tensorflow === | ||
* Get the graph used on this example from [https://shop.ridgerun.com/products/inceptionv4-for-tensorflow this link] | * Get the graph used on this example from [https://shop.ridgerun.com/products/inceptionv4-for-tensorflow this link] | ||
* You will need an image file from one of [https://gist.github.com/yrevar/942d3a0ac09ec9e5eb3a ImageNet classes] | * You will need an image file from one of [https://gist.github.com/yrevar/942d3a0ac09ec9e5eb3a ImageNet classes] | ||
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</syntaxhighlight> | </syntaxhighlight> | ||
== Inceptionv4 inference on video file using TensorFlow == | === Inceptionv4 inference on video file using TensorFlow === | ||
* Get the graph used on this example from [https://shop.ridgerun.com/products/inceptionv4-for-tensorflow this link] | * Get the graph used on this example from [https://shop.ridgerun.com/products/inceptionv4-for-tensorflow this link] | ||
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</syntaxhighlight> | </syntaxhighlight> | ||
== Inceptionv4 inference on camera stream using TensorFlow == | === Inceptionv4 inference on camera stream using TensorFlow === | ||
* Get the graph used on this example from [https://shop.ridgerun.com/products/inceptionv4-for-tensorflow this link] | * Get the graph used on this example from [https://shop.ridgerun.com/products/inceptionv4-for-tensorflow this link] | ||
* You will need a camera compatible with Nvidia Libargus API or V4l2. | * You will need a camera compatible with Nvidia Libargus API or V4l2. | ||
===Nvidia Camera=== | ====Nvidia Camera==== | ||
* Pipeline | * Pipeline | ||
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</syntaxhighlight> | </syntaxhighlight> | ||
===V4L2=== | ====V4L2==== | ||
* Pipeline | * Pipeline | ||
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</syntaxhighlight> | </syntaxhighlight> | ||
==Inceptionv4 visualization with classification overlay Tensorflow== | ===Inceptionv4 visualization with classification overlay Tensorflow=== | ||
* Get the graph used on this example from [https://shop.ridgerun.com/products/inceptionv4-for-tensorflow this link] | * Get the graph used on this example from [https://shop.ridgerun.com/products/inceptionv4-for-tensorflow this link] | ||
* You will need a camera compatible with Nvidia Libargus API or V4l2. | * You will need a camera compatible with Nvidia Libargus API or V4l2. | ||
===Nvidia Camera=== | ====Nvidia Camera==== | ||
* Pipeline | * Pipeline | ||
<syntaxhighlight lang=bash> | <syntaxhighlight lang=bash> | ||
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</syntaxhighlight> | </syntaxhighlight> | ||
===V4L2=== | ====V4L2==== | ||
* Pipeline | * Pipeline | ||
<syntaxhighlight lang=bash> | <syntaxhighlight lang=bash> | ||
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[[File:Tx2-snap-classification.png|500px|center|thumb|Example classification overlay output]] | [[File:Tx2-snap-classification.png|500px|center|thumb|Example classification overlay output]] | ||
== TinyYolov2 inference on image file using Tensorflow == | === TinyYolov2 inference on image file using Tensorflow === | ||
* Get the graph used on this example from [https://shop.ridgerun.com/products/tinyyolov2-for-tensorflow this link] | * Get the graph used on this example from [https://shop.ridgerun.com/products/tinyyolov2-for-tensorflow this link] | ||
* You will need an image file from one of TinyYOLO classes | * You will need an image file from one of TinyYOLO classes | ||
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</syntaxhighlight> | </syntaxhighlight> | ||
== TinyYolov2 inference on video file using Tensorflow == | === TinyYolov2 inference on video file using Tensorflow === | ||
* Get the graph used on this example from [https://shop.ridgerun.com/products/tinyyolov2-for-tensorflow this link] | * Get the graph used on this example from [https://shop.ridgerun.com/products/tinyyolov2-for-tensorflow this link] | ||
* You will need a video file from one of TinyYOLO classes | * You will need a video file from one of TinyYOLO classes | ||
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</syntaxhighlight> | </syntaxhighlight> | ||
== TinyYolov2 inference on camera stream using Tensorflow == | === TinyYolov2 inference on camera stream using Tensorflow === | ||
* Get the graph used on this example from [https://shop.ridgerun.com/products/tinyyolov2-for-tensorflow this link] | * Get the graph used on this example from [https://shop.ridgerun.com/products/tinyyolov2-for-tensorflow this link] | ||
* You will need a camera compatible with Nvidia Libargus API or V4l2. | * You will need a camera compatible with Nvidia Libargus API or V4l2. | ||
===Nvidia Camera=== | ====Nvidia Camera==== | ||
* Pipeline | * Pipeline | ||
<syntaxhighlight lang=bash> | <syntaxhighlight lang=bash> | ||
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</syntaxhighlight> | </syntaxhighlight> | ||
===V4L2=== | ====V4L2==== | ||
* Pipeline | * Pipeline | ||
<syntaxhighlight lang=bash> | <syntaxhighlight lang=bash> | ||
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</syntaxhighlight> | </syntaxhighlight> | ||
== TinyYolov2 visualization with detection overlay Tensorflow == | === TinyYolov2 visualization with detection overlay Tensorflow === | ||
* Get the graph used on this example from [https://shop.ridgerun.com/products/tinyyolov2-for-tensorflow this link] | * Get the graph used on this example from [https://shop.ridgerun.com/products/tinyyolov2-for-tensorflow this link] | ||
* You will need a camera compatible with Nvidia Libargus API or V4l2. | * You will need a camera compatible with Nvidia Libargus API or V4l2. | ||
===Nvidia Camera === | ====Nvidia Camera ==== | ||
* Pipeline | * Pipeline | ||
<syntaxhighlight lang=bash> | <syntaxhighlight lang=bash> | ||
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</syntaxhighlight> | </syntaxhighlight> | ||
===V4L2 === | ====V4L2 ==== | ||
* Pipeline | * Pipeline | ||
<syntaxhighlight lang=bash> | <syntaxhighlight lang=bash> | ||
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[[File:Tx2-snap-detection.png|500px|center|thumb|Example detection overlay output]] | [[File:Tx2-snap-detection.png|500px|center|thumb|Example detection overlay output]] | ||
== FaceNet visualization with embedding overlay Tensorflow == | === FaceNet visualization with embedding overlay Tensorflow === | ||
* Get the graph used on this example from [https://shop.ridgerun.com/products/facenetv1-for-tensorflow this link] | * Get the graph used on this example from [https://shop.ridgerun.com/products/facenetv1-for-tensorflow this link] | ||
* You will need a camera compatible with Nvidia Libargus API or V4l2. | * You will need a camera compatible with Nvidia Libargus API or V4l2. | ||
* LABELS and EMBEDDINGS files are in $PATH_TO_GST_INFERENCE_ROOT_DIR/tests/examples/embedding/embeddings. | * LABELS and EMBEDDINGS files are in $PATH_TO_GST_INFERENCE_ROOT_DIR/tests/examples/embedding/embeddings. | ||
===Nvidia Camera === | ====Nvidia Camera ==== | ||
* Pipeline | * Pipeline | ||
<syntaxhighlight lang=bash> | <syntaxhighlight lang=bash> | ||
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</syntaxhighlight> | </syntaxhighlight> | ||
===V4L2 === | ====V4L2 ==== | ||
* Pipeline | * Pipeline | ||
<syntaxhighlight lang=bash> | <syntaxhighlight lang=bash> | ||