inceptionv3

InceptionV3

Input

Ailia input shape: (1,3,299,299) Range: [0.0, 255.0]

Output

class_count=3
+ idx=0
category=409[ analog clock ]
prob=9.799751281738281
+ idx=1
category=892[ wall clock ]
prob=7.499673843383789
+ idx=2
category=826[ stopwatch, stop watch ]
prob=4.118775844573975

Usage

Automatically downloads the onnx and prototxt files on the first run. It is necessary to be connected to the Internet while downloading.

For the sample image,

$ python3 inceptionv3.py

If you want to specify the input image, put the image path after the --input option.

$ python3 inceptionv3.py --input IMAGE_PATH

By adding the --video option, you can input the video.
If you pass 0 as an argument to VIDEO_PATH, you can use the webcam input instead of the video file.

$ python3 inceptionv3.py --video VIDEO_PATH

Reference

Rethinking the Inception Architecture for Computer Vision

Datasets, Transforms and Models specific to Computer Vision

Model Format

ONNX opset = 10

Framework

Pytorch 1.2.0

Netron

inceptionv3.onnx.prototxt