Code for Keras plays catch blog post
python qlearn.py
- Generate figures
Code for Keras plays catch blog post
python qlearn.py
To re-sign an iOS app with another developer account, ensure that the following are in place first.
Note that the Apple requires bundle IDs to be globally unique, even across accounts. So a bundle ID i.e. CFBundleIdentifier
from one account can't be used in a different account, even though the team id/prefix would be different.
Ensure that the new distribution certificate is in your keychain and the new provisioning profile on your disk.
Payload/.app/
port4 EQU 0E8h | |
shift7LED EQU 0FEh | |
dispBuf EQU 40h | |
keyBuf1 EQU 44h | |
keyBuf2 EQU 45h | |
keyCode EQU 46h | |
keyCheck EQU 47h | |
debCounter EQU 48h | |
debTimes EQU 60 | |
CLEAR BIT 05h |
port4 EQU 0E8h | |
shift7LED EQU 0FEh | |
dispBuf EQU 40h | |
keyBuf1 EQU 44h | |
keyBuf2 EQU 45h | |
keyCode EQU 46h | |
decBuf0 EQU 50h | |
t0Buf EQU 49h | |
t0Count EQU 10 | |
decBuf1 EQU 4Ch |
port4 EQU 0E8h | |
shift7LED EQU 0FEh | |
dispBuf EQU 40h | |
keyBuf1 EQU 44h | |
keyBuf2 EQU 45h | |
keyCode EQU 46h | |
decBuf EQU 50h | |
toBuf EQU 49h | |
toCount EQU 10 |
port4 EQU 0E8h ;#define port4 0E8h | |
shift7LED EQU 0FEh ;#define shift7LED 0FEh | |
dispBuf EQU 40h ;#define dispBuf 40h | |
keyBuf1 EQU 44h ;#define keyBuf1 44h | |
keyBuf2 EQU 45h ;#define keyBuf2 45h | |
keyCode EQU 46h ;#define keyCode 46h | |
keyCheck EQU 47h ;#define keyCheck 47h | |
debCounter EQU 48h ;#define debCounter 48h | |
debTimes EQU 60 ;#define debTimes 60 |
keybuf1 EQU 44h | |
keybuf2 EQU 45h | |
keycode EQU 46h | |
port4 EQU 0E8h | |
shift7LED EQU 0FEh | |
dispBuf EQU 40h | |
ORG 0000h | |
MOV a, #0FFh | |
MOV port4, a |
#include <stdlib.h> | |
#include <stdio.h> | |
struct NODE{ | |
int data; | |
struct NODE *link; | |
}; | |
struct STACK{ | |
int count; | |
struct NODE *top; | |
}; |
ORG 0000h | |
MOV 40h,#0 | |
MOV 41h,#6 | |
MOV 42h,#4 | |
MOV 43h,#1 | |
MOV DPTR, #Led_table | |
back: | |
MOV R0,#40h | |
MOV 0E0h,#0FEh |
/*public static void main(String args[]){ | |
SVM svm = SVM.create(); | |
HOGDescriptor hog = new HOGDescriptor(new Size(64, 128), new Size(16, 16), new Size(8, 8), new Size(8, 8), 9); | |
Mat vector = new Mat(); | |
Mat label = new Mat(); | |
int dim = 0; | |
for (int i=0; i<100; i++){ | |
Mat img = Imgcodecs.imread("/Users/Clive/Desktop/trainHOG-master/pos/"+i+".png"); | |
MatOfFloat factor = new MatOfFloat(); | |
MatOfPoint locations =new MatOfPoint(); |