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name: "AlexNet" | |
layer { | |
name: "data" | |
type: "Input" | |
top: "data" | |
input_param { shape: { dim: 10 dim: 3 dim: 227 dim: 227 } } | |
} | |
layer { | |
name: "conv1" | |
type: "Convolution" |
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# data layers | |
layer { | |
name: "data" | |
type: "Data" | |
top: "data" | |
include { | |
phase: TRAIN | |
} | |
data_param { | |
batch_size: 1 |
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name: "FCN AlexNet" | |
input: "data" | |
input_shape { | |
dim: 1 | |
dim: 3 | |
dim: 1024 | |
dim: 2048 | |
} | |
layer { | |
name: "shift" |
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name: "FastRCNN VGG16" | |
input: "data" | |
input_shape { | |
dim: 2 | |
dim: 3 | |
dim: 375 | |
dim: 500 | |
} |
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name: "LeNet" | |
layer { | |
name: "data" | |
type: "Input" | |
top: "data" | |
input_param { shape: { dim: 64 dim: 1 dim: 28 dim: 28 } } | |
} | |
layer { | |
name: "conv1" | |
type: "Convolution" |
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name: 'FCN 16s' | |
layer { | |
type: 'data' | |
name: 'data' | |
top: 'data' | |
input_param { | |
shape { | |
dim: 1 | |
dim: 3 | |
dim: 500 |
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# Based on | |
# https://gist.github.com/lukeyeager/777087991419d98700054cade2f755e6 | |
#-------------------------------------------------------------------- | |
# CarDetection runs Detectnet on a video pipeline (TX1 Tested) | |
# This might be run only once if no ffmpeg is installed | |
#import imageio | |
#imageio.plugins.ffmpeg.download() | |
import cv2 |
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variables: | |
ROS_DISTRO: "indigo" | |
CI_SOURCE_PATH: "$CI_PROJECT_DIR" | |
ROS_PARALLEL_JOBS: "-j8 -l6" | |
before_script: | |
# before install | |
- mkdir -p ~/catkin_ws/src | |
- cd ~/catkin_ws/src | |
- if [ ! -f CMakeLists.txt ]; then catkin_init_workspace; else echo "CMakeList file already there";fi |
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<link rel="import" href="../core-icons/core-icons.html"> | |
<link rel="import" href="../paper-item/paper-item.html"> | |
<polymer-element name="my-element"> | |
<template> | |
<style> | |
:host { | |
position: absolute; | |
width: 100%; |
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