jkjung-avt

""" Trains an agent with (stochastic) Policy Gradients on Pong. Uses OpenAI Gym. """
import numpy as np
#import cPickle as pickle
import _pickle as pickle
import gym

# hyperparameters
H = 200 # number of hidden layer neurons
batch_size = 10 # every how many episodes to do a param update?
learning_rate = 1e-4

jkjung-avt

# --------------------------------------------------------
# Camera sample code for Tegra X2/X1
#
# This program could capture and display video from
# IP CAM, USB webcam, or the Tegra onboard camera.
# Refer to the following blog post for how to set up
# and run the code:
#   https://jkjung-avt.github.io/tx2-camera-with-python/
#
# Written by JK Jung <jkjung13@gmail.com>

jkjung-avt

# --------------------------------------------------------
# Camera Caffe sample code for Tegra X2/X1
#
# This program captures and displays video from IP CAM,
# USB webcam, or the Tegra onboard camera, and do real-time
# image classification (inference) with Caffe. Refer to the
# following blog post for how to set up and run the code:
#
#   https://jkjung-avt.github.io/camera-caffe-threaded/
#

jkjung-avt

# Feature extractor
def extract_features(image_path, vector_size=32):
    image = imread(image_path, mode="RGB")
    try:
        # Using KAZE, cause SIFT, ORB and other was moved to additional module
        # which is adding addtional pain during install
        alg = cv2.KAZE_create()
        # Dinding image keypoints
        kps = alg.detect(image)
        # Getting first 32 of them. 

jkjung-avt

# test_camera.py
#
# Open an RTSP stream and feed image frames to 'openalpr'
# for real-time license plate recognition.

import numpy as np
import cv2
from openalpr import Alpr

jkjung-avt

jkjung-avt

# --------------------------------------------------------
# Camera Recorder for Tegra X2/X1
#
# This program captures video from IP CAM, USB webcam,
# or the Tegra onboard camera, adds some watermark on
# the video frames and then records it into a TS file.
# The code demonstrates how to use cv2.VideoWriter()
# while taking advantage of TX2/TX1's H.264 H/W encoder
# capabilities.
#

jkjung-avt

" JK Jung's .vmirc
"
" Reference:
"
" 1. Sample .vimrc by Martin Brochhaus, presented at PyCon APAC 2012
"    https://github.com/mbrochh/vim-as-a-python-ide
" 2. https://realpython.com/vim-and-python-a-match-made-in-heaven/
" 3. https://github.com/fisadev/fisa-vim-config
" 4. https://github.com/thesheff17/youtube/blob/master/vim/vimrc
" 5. https://github.com/amix/vimrc

jkjung-avt

# --------------------------------------------------------
# Camera Single-Shot Multibox Detector (SSD) sample code
# for Tegra X2/X1
#
# This program captures and displays video from IP CAM,
# USB webcam, or the Tegra onboard camera, and do real-time
# object detection with Single-Shot Multibox Detector (SSD)
# in Caffe. Refer to the following blog post for how to set
# up and run the code:
#

jkjung-avt

import numpy as np
import keras

class DataGenerator(keras.utils.Sequence):
    'Generates data for Keras'
    def __init__(self, list_IDs, labels, batch_size=32, dim=(32,32,32), n_channels=1,
                 n_classes=10, shuffle=True):
        'Initialization'
        self.dim = dim
        self.batch_size = batch_size