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leigh-johnson / log.do_compile.2280811
Created November 27, 2022 22:56
libcamera/202210+gitAUTOINC+7219110a12-r0
View log.do_compile.2280811
DEBUG: Executing shell function do_compile
[1/154] /home/leigh/projects/poky/build-rpi4/tmp/work/cortexa72-bitsy-linux/libcamera/202210+gitAUTOINC+7219110a12-r0/git/utils/gen-header.sh /home/leigh/projects/poky/build-rpi4/tmp/work/cortexa72-bitsy-linux/libcamera/202210+gitAUTOINC+7219110a12-r0/git/include/libcamera include/libcamera/libcamera.h
[2/154] aarch64-bitsy-linux-g++ -mcpu=cortex-a72 -march=armv8-a+crc -fstack-protector-strong -O2 -D_FORTIFY_SOURCE=2 -Wformat -Wformat-security -Werror=format-security --sysroot=/home/leigh/projects/poky/build-rpi4/tmp/work/cortexa72-bitsy-linux/libcamera/202210+gitAUTOINC+7219110a12-r0/recipe-sysroot -Isrc/libcamera/base/libcamera-base.so.0.0.1.p -Isrc/libcamera/base -I../git/src/libcamera/base -Iinclude -I../git/include -fdiagnostics-color=always -D_FILE_OFFSET_BITS=64 -Wall -Winvalid-pch -Wnon-virtual-dtor -Wextra -Werror -std=c++17 -O0 -Wshadow -include /home/leigh/projects/poky/build-rpi4/tmp/work/cortexa72-bitsy-linux/libcamera/202210+gitAUTOINC+7219110a12-r0/bui
@leigh-johnson
leigh-johnson / google-cloud-automl-metrics-vision.ipynb
Last active April 17, 2021 23:30
Google AutoML Metrics Example
View google-cloud-automl-metrics-vision.ipynb
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@leigh-johnson
leigh-johnson / automl_evalutation_metrics.py
Last active February 24, 2021 05:12
TensorFlow Everywhere North America - scripts and snippets
View automl_evalutation_metrics.py
###
# Load AutoML evaluation metrics via Python API client
##
from google.cloud import automl
from google.protobuf.json_format import MessageToDict
import pandas as pd
project_id = "your-project-id"
model_id = "your-model-id" # look for modelId= in the GCP console url
@leigh-johnson
leigh-johnson / setup.py
Last active November 22, 2020 01:42
setup.py with tensorflow 2.x
View setup.py
# setup.py
import os
from setuptools import setup
arch = os.uname().machine
if arch == 'armv7l':
tensorflow = 'tensorflow @ https://github.com/bitsy-ai/tensorflow-arm-bin/releases/download/v2.4.0-rc2/tensorflow-2.4.0rc2-cp37-none-linux_armv7l.whl'
elif arch == 'aarch64':
View schema
{
"openapi": "3.0.3",
"info": {
"title": "",
"version": "0.0.0"
},
"paths": {
"/api/auth-token/": {
"post": {
"operationId": "auth_token_create",
@leigh-johnson
leigh-johnson / normalize-csv.ipynb
Created November 1, 2020 21:19
Automatic VoTT Bounding Box suggestions with Google Cloud AutoML Vision model
View normalize-csv.ipynb
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View raw
{
"embeddings": [
{
"tensorName": "My tensor",
"tensorShape": [
1000,
50
],
"tensorPath": "https://raw.githubusercontent.com/.../tensors.tsv",
"metadataPath": "https://raw.githubusercontent.com/.../optional.metadata.tsv"
View build
$ sudo bazel --host_jvm_args=-Xmx512m build \
--config=opt \
--config=noaws \
--config=nohdfs \
--config=nonccl \
--config=v2 \
--local_resources=4096.0,3.0,1.0 \
--copt=-mfpu=neon-vfpv4 \
--copt=-ftree-vectorize \
--copt=-funsafe-math-optimizations \
View postprocessed-tflite.sh
#!/usr/bin/env bash
TMP_DIR=${HOME}/tmp
TF_MODELS_DIR=${HOME}/projects/models
TF_MODELS_PY=${HOME}/projects/models/.venv/bin/python
MODEL_NAME=ssd_mobilenet_v3_small_coco_2019_08_14
MODEL_URL=http://download.tensorflow.org/models/object_detection/${MODEL_NAME}.tar.gz
MODEL_DIR=${TMP_DIR}/${MODEL_NAME}
CONFIG_FILE=${MODEL_DIR}/pipeline.config
CHECKPOINT=${MODEL_DIR}/model.ckpt
@leigh-johnson
leigh-johnson / mobilenet_v2_architechture.txt
Created July 7, 2019 04:32
Portable Computer Vision, SF Python July 2019
View mobilenet_v2_architechture.txt
Model: "mobilenetv2_1.00_224"
__________________________________________________________________________________________________
Layer (type) Output Shape Param # Connected to
==================================================================================================
input_1 (InputLayer) [(None, 224, 224, 3) 0
__________________________________________________________________________________________________
Conv1_pad (ZeroPadding2D) (None, 225, 225, 3) 0 input_1[0][0]
__________________________________________________________________________________________________
Conv1 (Conv2D) (None, 112, 112, 32) 864 Conv1_pad[0][0]
__________________________________________________________________________________________________