와.. 먼가 쓸데없는 뻘짓 ㅋㅋㅋ
makefile 에서 \" \" 로 감싸주니 의외로 간단하게 해결
#CROSS_PREFIX = arm-buildroot-linux-gnueabihf
CFLAGS = $(INCLUDEDIRS) -o -W -Wall -O2 -DCROSS_PREFIX=\"$(CROSS_PREFIX)\"
테스트 코드
void main()
{
printf("%s\n", CROSS_PREFIX);
}
| gcc unsigned to signed cast (0) | 2021.06.22 |
|---|---|
| gcc %p (nil) (0) | 2021.05.07 |
| Auto-vectorization in GCC (0) | 2021.03.25 |
| gcc -march 옵션 (0) | 2021.01.24 |
| g++ 은 정적 빌드가 안되나? (0) | 2021.01.19 |
서울시장 후보 둘다 마음에 드는건 아니지만
아무튼 씁쓸하구만...
10여년전 무상급식 반대 주민투표로 셀프탄핵 했고
10년이 지나서 그 피해를 보았을지도 모를 아이들이 그 사람을 뽑은거라면..
아니 반대로 피해를 보았을 가능성을 막은거지
피해를 본 건 아니니 오히려 모르는게 당연한걸까?
| 20대 개새끼 만들기 프로젝트? (0) | 2021.04.12 |
|---|---|
| KF-X 8조 8천 (2) | 2021.04.11 |
| 15년 전 탓을 하네 (0) | 2021.03.09 |
| 의사 면허 취소 반대? (0) | 2021.02.20 |
| 미국 정전 반도체 타격 (2) | 2021.02.17 |
INFO:tensorflow:depth of additional conv before box predictor: 0
I0407 19:04:11.848860 140671031727936 convolutional_keras_box_predictor.py:153] depth of additional conv before box predictor: 0
INFO:tensorflow:depth of additional conv before box predictor: 0
I0407 19:04:11.849254 140671031727936 convolutional_keras_box_predictor.py:153] depth of additional conv before box predictor: 0
INFO:tensorflow:depth of additional conv before box predictor: 0
I0407 19:04:11.849459 140671031727936 convolutional_keras_box_predictor.py:153] depth of additional conv before box predictor: 0
INFO:tensorflow:depth of additional conv before box predictor: 0
I0407 19:04:11.849658 140671031727936 convolutional_keras_box_predictor.py:153] depth of additional conv before box predictor: 0
INFO:tensorflow:depth of additional conv before box predictor: 0
I0407 19:04:11.849853 140671031727936 convolutional_keras_box_predictor.py:153] depth of additional conv before box predictor: 0
INFO:tensorflow:depth of additional conv before box predictor: 0
I0407 19:04:11.850045 140671031727936 convolutional_keras_box_predictor.py:153] depth of additional conv before box predictor: 0
WARNING:tensorflow:Skipping full serialization of Keras layer <object_detection.meta_architectures.ssd_meta_arch.SSDMetaArch object at 0x7ff0245f8880>, because it is not built.
W0407 19:04:15.019573 140671031727936 save_impl.py:77] Skipping full serialization of Keras layer <object_detection.meta_architectures.ssd_meta_arch.SSDMetaArch object at 0x7ff0245f8880>, because it is not built.
2021-04-07 19:04:26.913764: W tensorflow/python/util/util.cc:348] Sets are not currently considered sequences, but this may change in the future, so consider avoiding using them.
W0407 19:04:44.291487 140671031727936 save.py:236] Found untraced functions such as BoxPredictor_layer_call_and_return_conditional_losses, BoxPredictor_layer_call_fn, BoxPredictor_layer_call_fn, BoxPredictor_layer_call_and_return_conditional_losses, BoxPredictor_layer_call_and_return_conditional_losses while saving (showing 5 of 125). These functions will not be directly callable after loading.
W0407 19:04:45.480654 140671031727936 save.py:236] Found untraced functions such as BoxPredictor_layer_call_and_return_conditional_losses, BoxPredictor_layer_call_fn, BoxPredictor_layer_call_fn, BoxPredictor_layer_call_and_return_conditional_losses, BoxPredictor_layer_call_and_return_conditional_losses while saving (showing 5 of 125). These functions will not be directly callable after loading.| tf docker (0) | 2021.04.09 |
|---|---|
| tensorboard 사용법 (0) | 2021.04.08 |
| ssd mobilenetv2 python load pb, tflite (0) | 2021.04.07 |
| representative_dataset (0) | 2021.04.06 |
| tflite run (0) | 2021.04.02 |
pb
[링크 : https://github.com/penseeartificielle/mobilenet-ssd-detection-example/.../test-video-example.py]
tflite
[링크 : https://github.com/EdjeElectronics/.../blob/master/TFLite_detection_video.py]
[링크 : https://github.com/finnickniu/tensorflow_object_detection_tflite]
| tensorboard 사용법 (0) | 2021.04.08 |
|---|---|
| ssd mobilnetv2 to tflite warnings (0) | 2021.04.07 |
| representative_dataset (0) | 2021.04.06 |
| tflite run (0) | 2021.04.02 |
| tensorflow image input (0) | 2021.04.02 |
내가 상상하던 아름다운(?) 모습이 아니라 일단 안하는걸로..
project_a (다른 사람의 프로젝트)
project_a/src
project_b (내 프로젝트)
project_b를 project_a/src로 서브디렉토리에 넣고 싶은데
1. 서브디렉토리에 넣어지진 않음. 저장소 자체가 두개 합쳐지는 개념
2. 1의 문제로 인해서 합치고 디렉토리를 옮기던가, proejct_b를 다시 경로를 정리해서 합치던가 해야 함
3. git log는 timeline 으로 정리되서 시간이 뒤죽박죽으로 꼬이게 됨
(의도한건 project_a의 마지막 로그 이후로 시간이 변경되는 식으로 쭈욱 붙는 것이었음)
아무튼 쓸 게 못되는구나..
(일한거 팍팍 티내려고 했는데 실패..)
| git log --stat (0) | 2021.05.10 |
|---|---|
| git stash (0) | 2021.05.09 |
| git 특정 디렉토리만 clone 하기 (0) | 2021.04.07 |
| git lfs (0) | 2021.04.06 |
| git submodule (0) | 2021.04.05 |
아직 해보진 않음..
|
$ git init proj $ cd proj $ git remote add -f origin <<remote_url>> $ git config core.sparseCheckout true $ echo "directory" >> .git/info/sparse-checkout $ git pull origin master |
[링크 : https://www.lesstif.com/gitbook/git-clone-20776761.html]
| git stash (0) | 2021.05.09 |
|---|---|
| git 저장소 합치기 해보았으나.. (0) | 2021.04.07 |
| git lfs (0) | 2021.04.06 |
| git submodule (0) | 2021.04.05 |
| git reset revert (0) | 2021.03.31 |
를 예전부터 하나 가지고 싶긴했는데..
생겨서 정작 회로드를 보니 PMOD 외에는 죄다 B2B 커넥터를 통해 뽑아내야 하는지라
해당 보드는 또 추가로 싼게 59$ 비싼건 199$ 까지..
[링크 : https://www.avnet.com/.../aes-mbcc-brk-g-3074457345635221620] 만능기판 59$
[링크 : https://www.avnet.com/.../aes-arduino-cc-g-3074457345635221613] 아두이노 89$
FPGA Mezzanine Connector
[링크 : https://www.avnet.com/.../aes-mbcc-io-g-3074457345635221584] PMOD? 149$
[링크 : https://www.avnet.com/.../aes-mbcc-fmc-g-3074457345635221592] FMC 199$
Z7020 213$
Z7010 178$
[링크 : https://www.avnet.com/wps/portal/us/products/avnet-boards/avnet-board-families/microzed/]
얘네는 가격 써있는걸 보기 힘든것 같냐 -_-
[링크 : https://www.inipro.net/goods/goods_view.php?goodsNo=1000617811]
| 흐음.. 끌리네? (0) | 2022.11.02 |
|---|---|
| xvc - xilinx virtual cable (0) | 2021.08.24 |
| pmod pinout (0) | 2021.04.02 |
| xilinx vitis (0) | 2021.03.31 |
| xilinx fpga bank (0) | 2021.03.29 |
generator 라는 문법을 위한 키워드?
python 3.3 이후 부터 지원한다고 한다.
근데 봐도 이해가 쉽지 않네..
[링크 : https://wikidocs.net/16069]
| python op overload magic method (0) | 2021.06.14 |
|---|---|
| pythonpath (0) | 2021.04.16 |
| python 공부 (0) | 2020.01.14 |
| python 반복문 for in range() (0) | 2020.01.11 |
| python print 와 while 문 (0) | 2020.01.11 |
이미지를 다 불러와서 때려박으나 ramdom 값을 때려박으나 차이가 없네..
도대체 멀까?
import cv2
import glob
import numpy as np
import tensorflow as tf
NORM_H=300
NORM_W=300
filename = glob.glob("/home/minimonk/src/SSD-MobileNet-TF/images/train/*.jpg")
images = []
for i in filename:
img = cv2.imread(i)
img = cv2.resize(img, (NORM_H, NORM_W))
img = img / 255.0
img = img.astype(np.float32)
images.append(img)
for data in tf.data.Dataset.from_tensor_slices((images)).batch(1).take(len(filename)):
yield [data.astype(tf.float32)]
[링크 : https://stackoverflow.com/questions/3207219/] path
[링크 : https://stackoverflow.com/questions/57877959/] example
[링크 : https://tech.ssut.me/what-does-the-yield-keyword-do-in-python/]
[링크 : https://engineer-mole.tistory.com/85]
+
[링크 : https://www.tensorflow.org/api_docs/python/tf/data/Dataset]
+
2021.04.07
| ssd mobilnetv2 to tflite warnings (0) | 2021.04.07 |
|---|---|
| ssd mobilenetv2 python load pb, tflite (0) | 2021.04.07 |
| tflite run (0) | 2021.04.02 |
| tensorflow image input (0) | 2021.04.02 |
| ssd model pb to tflite with quantization (0) | 2021.04.02 |
Q: DE10-Nano에서 oneAPI 하려는데 안되요~
A: Quartus Pro 사세요
| As of now OneAPI addon is supported in Quartus Pro only. |
[링크 : https://community.intel.com/.../Local-OneAPI-FPGA-synthesis-with-Altera-Cyclone-5/td-p/1204639]
근데.. pro는 비싸지 않나...
그리고 addon 이라고 하면.. addon이 아닌 상태로는 lite로도 가능하다는 건가?
지원되는 하드웨어에... Arria 10GX / Stratix 10SX 가 포함된 PC 카드 타입..
| Supported Hardware FPGA Cards Intel® Programmable Acceleration Card (PAC) with Intel® Arria® 10 GX FPGA with Intel® Acceleration Stack for Intel® Xeon® CPU with FPGAs Version 1.2.1 Intel® FPGA Programmable Acceleration Card D5005 (previously known as Intel® PAC with Intel® Stratix® 10 SX FPGA) with Intel® Acceleration Stack for Intel® Xeon® CPU with FPGAs Version 2.0.1 Custom Platforms (Ported from Intel® Arria® 10 GX and Intel® Stratix® 10 GX reference platforms) Intel® Custom Platforms with Intel® Quartus® Prime software version 20.4 Intel® Custom Platforms with Intel® Quartus® Prime software version 20.3 Intel® Custom Platforms with Intel® Quartus® Prime software version 20.2 Intel® Custom Platforms with Intel® Quartus® Prime software version 19.4 |
[링크 : https://software.intel.com/.../intel-oneapi-dpcpp-fpga-add-on-release-notes.html]
혹시나 저렴한(!) DE10-Nano로는 안되나 찾아봐야 하는데.. 위에 링크에서 일단 좌절중!
그래도 모르니 Standard와 Nano를 비교해보니 cyclone V SE와 SX의 차이라..
DE10-Standard Cyclone V SX SoC—5CSXFC6D6F31C6N (110K LEs, 41509 ALMs
[링크 : https://www.terasic.com.tw/cgi-bin/page/archive.pl?Language=English&CategoryNo=165&No=1081&PartNo=2]
DE10-Nano Intel Cyclone® V SE 5CSEBA6U23I7 device (110K LEs)
[링크 : https://www.terasic.com.tw/cgi-bin/page/archive.pl?Language=English&CategoryNo=167&No=1046&PartNo=2]
| Nios V (0) | 2021.11.01 |
|---|---|
| IOFS - Intel Open FPGA Stack (0) | 2021.07.06 |
| cyclone V openCL? (0) | 2021.03.26 |
| risc v on fpga (0) | 2021.03.09 |
| quartus II 9.0이 아니야? 4.2 설치! (0) | 2020.06.23 |
|
