In the name of God
This gist contains steps to setup Ubuntu 22.04
for deep learning.
from __future__ import absolute_import | |
from __future__ import division | |
from __future__ import print_function | |
import argparse | |
import io | |
import os | |
import time | |
import random | |
import numpy as np |
import numpy as np | |
from PIL import Image | |
import cv2 | |
from src.keras_utils import reconstruct | |
import pycuda.driver as cuda | |
import pycuda.autoinit # For automatic creation and cleanup of CUDA context | |
import tensorrt as trt | |
import utils |
# -------------------------------------------------------- | |
# 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 <[email protected]> |
from __future__ import print_function | |
import requests | |
import json | |
import cv2 | |
addr = 'http://localhost:5000' | |
test_url = addr + '/api/test' | |
# prepare headers for http request | |
content_type = 'image/jpeg' |