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LeiWangR / tf_detection_api_inference.py
Created September 30, 2019 09:55 — forked from markdtw/tf_detection_api_inference.py
Extracting detection features from tensorflow object detection API.
"""This file extracts faster-rcnn features and bounding box coordinates"""
import pdb
import argparse
import numpy as np
import tensorflow as tf
import PIL.Image as PILI
def session(sess, feat_conv, feat_avg, boxes, classes, scores, image_tensor, image):
feat_conv_out, feat_avg_out, boxes_out, classes_out, scores_out = sess.run([
@LeiWangR
LeiWangR / gist:c0f3f3dce1729fdf00d54627e1c5267a
Created August 27, 2019 07:15 — forked from CristinaSolana/gist:1885435
Keeping a fork up to date

1. Clone your fork:

git clone [email protected]:YOUR-USERNAME/YOUR-FORKED-REPO.git

2. Add remote from original repository in your forked repository:

cd into/cloned/fork-repo
git remote add upstream git://github.com/ORIGINAL-DEV-USERNAME/REPO-YOU-FORKED-FROM.git
git fetch upstream
@LeiWangR
LeiWangR / ffmpeg.md
Created August 27, 2019 06:32 — forked from protrolium/ffmpeg.md
using ffmpeg to extract audio from video files

ffmpeg

Converting Audio into Different Formats / Sample Rates

Minimal example: transcode from MP3 to WMA:
ffmpeg -i input.mp3 output.wma

You can get the list of supported formats with:
ffmpeg -formats

Convert WAV to MP3, mix down to mono (use 1 audio channel), set bit rate to 64 kbps and sample rate to 22050 Hz: