yutaroyamanaka

FROM golang:1.19.4-alpine3.16 as builder
COPY ./main.go ./
RUN go build -o /app ./main.go

FROM alpine:3.16
COPY --from=builder /app .
USER nobody
ENTRYPOINT ["./app"]
CMD ["--shutdown.delay=0"]

yutaroyamanaka

FROM golang:1.19.4-alpine3.16 as builder
COPY ./main.go ./
RUN go build -o /app ./main.go

FROM alpine:3.16
COPY --from=builder /app .
USER nobody
ENTRYPOINT ["./app"]
CMD ["--shutdown.delay=0"]

yutaroyamanaka

from __future__ import print_function
import cv2 as cv
import numpy as np
import argparse
parser = argparse.ArgumentParser(description='Code for Feature Matching with FLANN tutorial.')
parser.add_argument('--input1', help='Path to input image 1.', default='box.png')
parser.add_argument('--input2', help='Path to input image 2.', default='box_in_scene.png')
parser.add_argument('--input3', help='Path to input image 2.', default='box_in_scene.png')
args = parser.parse_args()

yutaroyamanaka

import sys
import cv2

img = cv2.imread(sys.argv[1])
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
ret, binary = cv2.threshold(gray, 0, 255, cv2.THRESH_OTSU)
print(binary.shape)
cv2.imwrite("output.jpg", binary)

yutaroyamanaka

# Enter your network definition here.
# Use Shift+Enter to update the visualization.
name: "VGG_ILSVRC_16_layers"
layer {
  name: 'input-data'
  type: 'Python'
  top: 'data'
  top: 'im_info'
  top: 'gt_boxes'
  python_param {

yutaroyamanaka

name: "VGG_ILSVRC_16_layers"
layer {
  name: 'input-data'
  type: 'Python'
  top: 'data'
  top: 'im_info'
  top: 'gt_boxes'
  python_param {
    module: 'roi_data_layer.layer'
    layer: 'RoIDataLayer'

yutaroyamanaka

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@yutaroyamanaka 
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