Carlos Eduardo Parra carlosFPGA

## vivado_vcu_2018.2_bd.tcl

################################################################
# This is a generated script based on design: design_1
#
# Though there are limitations about the generated script,
# the main purpose of this utility is to make learning
# IP Integrator Tcl commands easier.
################################################################

namespace eval _tcl {

## pcam_memo.md

      
              1 file
            
          
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                lp6m
                / pcam_memo.md
            
            
              Last active
              September 10, 2018 18:26
            
              
                Ubuntu on ZYBO Z7-20からPCamの画像を取得する方法
              
          
    これは何か


ZYBO Z7-20上で動作するPetalinuxからPCamの映像を取得するための回路・デバドラ・コマンドがDigilentから公開されているが、Ubuntuを入れると取得できなかった。
http://lp6m.hatenablog.com/entry/2018/08/14/194445
これの続き。成功したのでブログに書く前のメモ
https://forums.xilinx.com/t5/Embedded-Linux/can-t-get-image-from-PCam-5C-on-Ubuntu-running-on-ZYBO-Z7-20/m-p/882879#M28057

Petalinuxインストール


chmod +x インストーラ.bin しないとダメ
apt-get たくさん必要


## tensorflow_api.csv
# TensorFlow r0.10
#
# Building Graph
#
add_to_collection,tf.add_to_collection
as_dtype,tf.as_dtype
bytes,tf.bytes
container,tf.container
control_dependencies,tf.control_dependencies
convert_to_tensor,tf.convert_to_tensor

## mic_client.py
#!/usr/bin/env python

import pyaudio
import socket
import sys

FORMAT = pyaudio.paInt16
CHANNELS = 1
RATE = 44100
CHUNK = 4096

## face detection system example.md

      
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                13 comments
              
            
              37 stars
            
          
                ageitgey
                / face detection system example.md
            
            
              Last active
              December 13, 2023 12:00
            
          
    Before you start

Make sure you have python, OpenFace and dlib installed. You can either install them manually or use a preconfigured docker image that has everying already installed:
docker pull bamos/openface
docker run -p 9000:9000 -p 8000:8000 -t -i bamos/openface /bin/bash
cd /root/openface

  
## anonymous
Result: 1
Items {
  TemplateId: "BADGE_BATTLE_ATTACK_WON"
  Badge {
    BadgeType: BADGE_BATTLE_ATTACK_WON
    BadgeRanks: 4
    Targets: "\nd\350\007"
  }
}
Items {

## rxjs_operators_by_example.md

      
              1 file
            
          
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              817 stars
            
          
                btroncone
                / rxjs_operators_by_example.md
            
            
              Last active
              September 14, 2025 16:48
            
              
                RxJS 5 Operators By Example
              
          
    RxJS 5 Operators By Example

⚠️ UPDATE: I have moved the contents of this gist plus more to http://www.learnrxjs.io and https://github.com/btroncone/learn-rxjs. For expanded examples, explanations, and resources, please check out this new location!
A complete list of RxJS 5 operators with easy to understand explanations and runnable examples.
Table of Contents


buffer
bufferCount
bufferTime


## decode.md

      
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              80 stars
            
          
                yang-wei
                / decode.md
            
            
              Last active
              May 24, 2025 09:14
            
              
                Elm Json.Decode tutorial and cheatsheet
              
          
    When receiving JSON data from other resources(server API etc), we need Json.Decode to convert the JSON values into Elm values. This gist  let you quickly learn how to do that.
I like to follow working example code so this is how the boilerplate will look like:
import Graphics.Element exposing (Element, show)
import Task exposing (Task, andThen)
import Json.Decode exposing (Decoder, int, string, object3, (:=))

import Http

  
## circle_detection.py
import cv2
import time
import math
import numpy as np

capture = cv2.VideoCapture(0)
print capture.get(cv2.CAP_PROP_FPS)

t = 100
w = 640.0

## consume_MT_messages.py
""" Simple mod from the original gist submitted by @zoufou
https://gist.github.com/zoufou/5701d71bf6e404d17cb4

Mod by: @pguillem

Purpose:
- Integrates PySQLPool lib to handle MySQL
- Visit https://pythonhosted.org/PySQLPool/tutorial.html

Requirements:

	################################################################
	# This is a generated script based on design: design_1
	#
	# Though there are limitations about the generated script,
	# the main purpose of this utility is to make learning
	# IP Integrator Tcl commands easier.
	################################################################

	namespace eval _tcl {
	# TensorFlow r0.10
	#
	# Building Graph
	#
	add_to_collection,tf.add_to_collection
	as_dtype,tf.as_dtype
	bytes,tf.bytes
	container,tf.container
	control_dependencies,tf.control_dependencies
	convert_to_tensor,tf.convert_to_tensor
	#!/usr/bin/env python

	import pyaudio
	import socket
	import sys

	FORMAT = pyaudio.paInt16
	CHANNELS = 1
	RATE = 44100
	CHUNK = 4096
	Result: 1
	Items {
	TemplateId: "BADGE_BATTLE_ATTACK_WON"
	Badge {
	BadgeType: BADGE_BATTLE_ATTACK_WON
	BadgeRanks: 4
	Targets: "\nd\350\007"
	}
	}
	Items {
	import cv2
	import time
	import math
	import numpy as np

	capture = cv2.VideoCapture(0)
	print capture.get(cv2.CAP_PROP_FPS)

	t = 100
	w = 640.0
	""" Simple mod from the original gist submitted by @zoufou
	https://gist.github.com/zoufou/5701d71bf6e404d17cb4

	Mod by: @pguillem

	Purpose:
	- Integrates PySQLPool lib to handle MySQL
	- Visit https://pythonhosted.org/PySQLPool/tutorial.html

	Requirements: