Merge remote-tracking branch 'origin/main'
1
.gitignore
vendored
@ -1,3 +1,2 @@
|
||||
result/
|
||||
.idea/
|
||||
.vscode/
|
BIN
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@ -1,272 +1 @@
|
||||
[
|
||||
{
|
||||
"code": "1",
|
||||
"type": "250x1450",
|
||||
"x": "196.0",
|
||||
"y": 0,
|
||||
"center": "351",
|
||||
"w": "1450",
|
||||
"h": "250",
|
||||
"angle": "0\u00b0"
|
||||
},
|
||||
{
|
||||
"code": "2",
|
||||
"type": "300x300",
|
||||
"x": "174.0",
|
||||
"y": 0,
|
||||
"center": "754",
|
||||
"w": "300",
|
||||
"h": "300",
|
||||
"angle": "0\u00b0"
|
||||
},
|
||||
{
|
||||
"code": "3",
|
||||
"type": "501x500",
|
||||
"x": "889.5",
|
||||
"y": 0,
|
||||
"center": "1054.5",
|
||||
"w": "500",
|
||||
"h": "501",
|
||||
"angle": "0\u00b0"
|
||||
},
|
||||
{
|
||||
"code": "4",
|
||||
"type": "250x648",
|
||||
"x": "-32.0",
|
||||
"y": 0,
|
||||
"center": "1149",
|
||||
"w": "648",
|
||||
"h": "250",
|
||||
"angle": "0\u00b0"
|
||||
},
|
||||
{
|
||||
"code": "5",
|
||||
"type": "250x250",
|
||||
"x": "588.0",
|
||||
"y": 0,
|
||||
"center": "1543",
|
||||
"w": "250",
|
||||
"h": "250",
|
||||
"angle": "0\u00b0"
|
||||
},
|
||||
{
|
||||
"code": "6",
|
||||
"type": "249x249",
|
||||
"x": "1031.5",
|
||||
"y": 0,
|
||||
"center": "1750.5",
|
||||
"w": "249",
|
||||
"h": "249",
|
||||
"angle": "0\u00b0"
|
||||
},
|
||||
{
|
||||
"code": "7",
|
||||
"type": "400x399",
|
||||
"x": "-199.5",
|
||||
"y": 0,
|
||||
"center": "1955",
|
||||
"w": "399",
|
||||
"h": "400",
|
||||
"angle": "0\u00b0"
|
||||
},
|
||||
{
|
||||
"code": "8",
|
||||
"type": "300x302",
|
||||
"x": "394.0",
|
||||
"y": 0,
|
||||
"center": "2159",
|
||||
"w": "302",
|
||||
"h": "300",
|
||||
"angle": "0\u00b0"
|
||||
},
|
||||
{
|
||||
"code": "9",
|
||||
"type": "300x302",
|
||||
"x": "996.0",
|
||||
"y": 0,
|
||||
"center": "2157",
|
||||
"w": "302",
|
||||
"h": "300",
|
||||
"angle": "0\u00b0"
|
||||
},
|
||||
{
|
||||
"code": "10",
|
||||
"type": "248x1447",
|
||||
"x": "2190.0",
|
||||
"y": 0,
|
||||
"center": "345",
|
||||
"w": "1447",
|
||||
"h": "248",
|
||||
"angle": "0\u00b0"
|
||||
},
|
||||
{
|
||||
"code": "11",
|
||||
"type": "298x297",
|
||||
"x": "2198.5",
|
||||
"y": 0,
|
||||
"center": "747",
|
||||
"w": "297",
|
||||
"h": "298",
|
||||
"angle": "0\u00b0"
|
||||
},
|
||||
{
|
||||
"code": "12",
|
||||
"type": "499x499",
|
||||
"x": "2891.0",
|
||||
"y": 0,
|
||||
"center": "1040.5",
|
||||
"w": "499",
|
||||
"h": "499",
|
||||
"angle": "0\u00b0"
|
||||
},
|
||||
{
|
||||
"code": "13",
|
||||
"type": "245x648",
|
||||
"x": "1994.5",
|
||||
"y": 0,
|
||||
"center": "1146.5",
|
||||
"w": "648",
|
||||
"h": "245",
|
||||
"angle": "0\u00b0"
|
||||
},
|
||||
{
|
||||
"code": "14",
|
||||
"type": "247x247",
|
||||
"x": "2589.5",
|
||||
"y": 0,
|
||||
"center": "1550.5",
|
||||
"w": "247",
|
||||
"h": "247",
|
||||
"angle": "0\u00b0"
|
||||
},
|
||||
{
|
||||
"code": "15",
|
||||
"type": "246x247",
|
||||
"x": "2998.5",
|
||||
"y": 0,
|
||||
"center": "1757",
|
||||
"w": "247",
|
||||
"h": "246",
|
||||
"angle": "0\u00b0"
|
||||
},
|
||||
{
|
||||
"code": "16",
|
||||
"type": "398x392",
|
||||
"x": "1799.5",
|
||||
"y": 0,
|
||||
"center": "1955",
|
||||
"w": "392",
|
||||
"h": "398",
|
||||
"angle": "0\u00b0"
|
||||
},
|
||||
{
|
||||
"code": "17",
|
||||
"type": "300x293",
|
||||
"x": "2394.5",
|
||||
"y": 0,
|
||||
"center": "2147",
|
||||
"w": "293",
|
||||
"h": "300",
|
||||
"angle": "0\u00b0"
|
||||
},
|
||||
{
|
||||
"code": "18",
|
||||
"type": "298x297",
|
||||
"x": "3001.5",
|
||||
"y": 0,
|
||||
"center": "2144",
|
||||
"w": "297",
|
||||
"h": "298",
|
||||
"angle": "0\u00b0"
|
||||
},
|
||||
{
|
||||
"code": "19",
|
||||
"type": "245x1447",
|
||||
"x": "4191.5",
|
||||
"y": 0,
|
||||
"center": "344.5",
|
||||
"w": "1447",
|
||||
"h": "245",
|
||||
"angle": "0\u00b0"
|
||||
},
|
||||
{
|
||||
"code": "20",
|
||||
"type": "295x300",
|
||||
"x": "4175.0",
|
||||
"y": 0,
|
||||
"center": "743.5",
|
||||
"w": "300",
|
||||
"h": "295",
|
||||
"angle": "0\u00b0"
|
||||
},
|
||||
{
|
||||
"code": "21",
|
||||
"type": "498x495",
|
||||
"x": "4897.5",
|
||||
"y": 0,
|
||||
"center": "1030",
|
||||
"w": "495",
|
||||
"h": "498",
|
||||
"angle": "0\u00b0"
|
||||
},
|
||||
{
|
||||
"code": "22",
|
||||
"type": "245x648",
|
||||
"x": "3977.0",
|
||||
"y": 0,
|
||||
"center": "1150.5",
|
||||
"w": "648",
|
||||
"h": "245",
|
||||
"angle": "0\u00b0"
|
||||
},
|
||||
{
|
||||
"code": "23",
|
||||
"type": "245x246",
|
||||
"x": "4547.5",
|
||||
"y": 0,
|
||||
"center": "1541.5",
|
||||
"w": "246",
|
||||
"h": "245",
|
||||
"angle": "0\u00b0"
|
||||
},
|
||||
{
|
||||
"code": "24",
|
||||
"type": "245x245",
|
||||
"x": "4992.5",
|
||||
"y": 0,
|
||||
"center": "1735.5",
|
||||
"w": "245",
|
||||
"h": "245",
|
||||
"angle": "0\u00b0"
|
||||
},
|
||||
{
|
||||
"code": "25",
|
||||
"type": "398x392",
|
||||
"x": "3796.5",
|
||||
"y": 0,
|
||||
"center": "1955",
|
||||
"w": "392",
|
||||
"h": "398",
|
||||
"angle": "0\u00b0"
|
||||
},
|
||||
{
|
||||
"code": "26",
|
||||
"type": "298x296",
|
||||
"x": "4392.5",
|
||||
"y": 0,
|
||||
"center": "2142",
|
||||
"w": "296",
|
||||
"h": "298",
|
||||
"angle": "0\u00b0"
|
||||
},
|
||||
{
|
||||
"code": "27",
|
||||
"type": "297x295",
|
||||
"x": "4991.5",
|
||||
"y": 0,
|
||||
"center": "2146.5",
|
||||
"w": "295",
|
||||
"h": "297",
|
||||
"angle": "0\u00b0"
|
||||
}
|
||||
]
|
||||
[{"code": 1, "type": "250x1450", "x": 945, "y": 0, "center": 351, "w": 1450, "h": 250, "angle": "0"}, {"code": 2, "type": "300x300", "x": 923, "y": 0, "center": 754, "w": 300, "h": 300, "angle": "0"}, {"code": 3, "type": "501x500", "x": 1638, "y": 0, "center": 1054, "w": 500, "h": 501, "angle": "0"}, {"code": 4, "type": "250x648", "x": 717, "y": 0, "center": 1149, "w": 648, "h": 250, "angle": "0"}, {"code": 5, "type": "250x250", "x": 1337, "y": 0, "center": 1543, "w": 250, "h": 250, "angle": "0"}, {"code": 6, "type": "249x249", "x": 1780, "y": 0, "center": 1750, "w": 249, "h": 249, "angle": "0"}, {"code": 7, "type": "400x399", "x": 549, "y": 0, "center": 1955, "w": 399, "h": 400, "angle": "0"}, {"code": 8, "type": "300x302", "x": 1143, "y": 0, "center": 2159, "w": 302, "h": 300, "angle": "0"}, {"code": 9, "type": "300x302", "x": 1745, "y": 0, "center": 2157, "w": 302, "h": 300, "angle": "0"}, {"code": 10, "type": "248x1447", "x": 2939, "y": 0, "center": 345, "w": 1447, "h": 248, "angle": "0"}, {"code": 11, "type": "298x297", "x": 2947, "y": 0, "center": 747, "w": 297, "h": 298, "angle": "0"}, {"code": 12, "type": "499x499", "x": 3640, "y": 0, "center": 1040, "w": 499, "h": 499, "angle": "0"}, {"code": 13, "type": "245x648", "x": 2743, "y": 0, "center": 1146, "w": 648, "h": 245, "angle": "0"}, {"code": 14, "type": "247x247", "x": 3338, "y": 0, "center": 1550, "w": 247, "h": 247, "angle": "0"}, {"code": 15, "type": "246x247", "x": 3747, "y": 0, "center": 1757, "w": 247, "h": 246, "angle": "0"}, {"code": 16, "type": "398x392", "x": 2548, "y": 0, "center": 1955, "w": 392, "h": 398, "angle": "0"}, {"code": 17, "type": "300x293", "x": 3143, "y": 0, "center": 2147, "w": 293, "h": 300, "angle": "0"}, {"code": 18, "type": "298x297", "x": 3750, "y": 0, "center": 2144, "w": 297, "h": 298, "angle": "0"}, {"code": 19, "type": "245x1447", "x": 4940, "y": 0, "center": 344, "w": 1447, "h": 245, "angle": "0"}, {"code": 20, "type": "295x300", "x": 4924, "y": 0, "center": 743, "w": 300, "h": 295, "angle": "0"}, {"code": 21, "type": "498x495", "x": 5646, "y": 0, "center": 1030, "w": 495, "h": 498, "angle": "0"}, {"code": 22, "type": "245x648", "x": 4726, "y": 0, "center": 1150, "w": 648, "h": 245, "angle": "0"}, {"code": 23, "type": "245x246", "x": 5296, "y": 0, "center": 1541, "w": 246, "h": 245, "angle": "0"}, {"code": 24, "type": "245x245", "x": 5741, "y": 0, "center": 1735, "w": 245, "h": 245, "angle": "0"}, {"code": 25, "type": "398x392", "x": 4545, "y": 0, "center": 1955, "w": 392, "h": 398, "angle": "0"}, {"code": 26, "type": "298x296", "x": 5141, "y": 0, "center": 2142, "w": 296, "h": 298, "angle": "0"}, {"code": 27, "type": "297x295", "x": 5740, "y": 0, "center": 2146, "w": 295, "h": 297, "angle": "0"}]
|
@ -38,11 +38,11 @@ cloud_need_points_size = 600000
|
||||
save_cload = true
|
||||
|
||||
[sys]
|
||||
fake = false
|
||||
fake = true
|
||||
camera_cap_fake = true
|
||||
lidar_cap_fake = true
|
||||
npu_fake = true
|
||||
conners_detect_fake = false
|
||||
fake_image_fpath = ./result/test_1/ep_100000_count_600000/output.jpg
|
||||
fake_lidar_fpath = ./result/test_1/ep_100000_count_600000/output.ply
|
||||
conners_detect_fake = true
|
||||
fake_image_fpath = ./result/hy_1/output.jpg
|
||||
fake_lidar_fpath = ./result/hy_1/output.ply
|
||||
|
||||
|
@ -182,6 +182,7 @@ def init_image_framework_sdk():
|
||||
# 加载C++库
|
||||
current_file_dir = os.path.dirname(os.path.abspath(__file__))
|
||||
image_framework_sdk = CDLL(os.path.join(current_file_dir, f'./image_framework.dll'))
|
||||
print(f"[image_framework_sdk] ====== [{image_framework_sdk}]")
|
||||
print("Load Image framework sdk success")
|
||||
except Exception as e:
|
||||
print(f"Load Image framework sdk failed: {str(e)}")
|
||||
@ -236,7 +237,7 @@ if __name__ == '__main__':
|
||||
raise RuntimeError(f"设置回调函数始设置失败, 错误码: {ret}")
|
||||
|
||||
|
||||
dataPath = "./result/hy_1" # 数据路径
|
||||
dataPath = "./result" # 数据路径
|
||||
data_img_path = None # 检测的图片路径
|
||||
data_detect_res_save_path = None # 检测结果的保存路径
|
||||
# 遍历目录
|
||||
|
@ -22,12 +22,18 @@ x_min, x_max = float('inf'), float('-inf')
|
||||
y_min, y_max = float('inf'), float('-inf')
|
||||
|
||||
|
||||
x_max_original = 0
|
||||
x_center_max = 0 # 在右测坐标系中。所有预埋件中心点的x坐标最大的值
|
||||
x_center_max_w = 0
|
||||
x_center_max_h = 0
|
||||
for index, row in df.iloc[2:30].iterrows():
|
||||
original_x = row[col('K')] - row[col('D')] / 2
|
||||
if(original_x > x_max_original):
|
||||
x_max_original = original_x
|
||||
|
||||
original_x_center = row[col('K')]
|
||||
if(original_x_center > x_center_max):
|
||||
x_center_max = original_x_center
|
||||
x_center_max_w = row[col('D')]
|
||||
x_center_max_h = row[col('E')]
|
||||
print(f"x_center_max_original={x_center_max}")
|
||||
# 以为预埋件中心点的x最大的矩形的左下角作为坐标原点
|
||||
x_center_max_left_bottom = x_center_max + x_center_max_w / 2
|
||||
|
||||
bm_struct_array = []
|
||||
|
||||
@ -35,14 +41,22 @@ for index, row in df.iloc[2:30].iterrows():
|
||||
# 打印B列和C列的值
|
||||
print(f"行 {index+2} -> A列-编号: {row[col('A')]}, D列-测量宽度: {row[col('D')]}, E列-测量高度: {row[col('E')]},K列-测量中心x: {row[col('K')]}, L列-测量中心y: {row[col('L')]}")
|
||||
|
||||
# 转换x坐标
|
||||
x_original = row[col('K')]
|
||||
x = x_max_original - x_original - row[col('D')] / 2
|
||||
y = row[col('L')] - row[col('E')] / 2
|
||||
|
||||
# 转换中心点坐标
|
||||
center_x = x_max_original - x_original
|
||||
# 使用新的中心点,之后,x坐标需要转换
|
||||
x_center_original = row[col('K')]
|
||||
center_x =(-x_center_original) + x_center_max_left_bottom + 350
|
||||
# center_x = -x_center_original
|
||||
center_y = row[col('L')]
|
||||
width = row[col('D')]
|
||||
height = row[col('E')]
|
||||
# 左上角
|
||||
x = center_x - width / 2
|
||||
# 左上角
|
||||
y = center_y + height / 2
|
||||
# 左下角
|
||||
x_left_bottom = center_x - width / 2
|
||||
# 左下角
|
||||
y_left_bottom = center_y - height / 2
|
||||
|
||||
|
||||
# [{
|
||||
# "code": "PT001",
|
||||
@ -55,27 +69,21 @@ for index, row in df.iloc[2:30].iterrows():
|
||||
# "angle": "90\""
|
||||
# },
|
||||
bm_struct_array.append({
|
||||
"code": str(row[col('A')]),
|
||||
"type": f"{str(row[col('E')])}x{str(row[col('D')])}",# w x h
|
||||
"x": str(center_x),
|
||||
"code": int(row[col('A')]),
|
||||
"type": f"{height}x{width}",# h x w
|
||||
"x": int(center_x),
|
||||
"y": 0,
|
||||
"center": str(center_y),
|
||||
"w": str(row[col('D')]),
|
||||
"h": str(row[col('E')]),
|
||||
"angle" : "0°"
|
||||
"center": int(center_y),
|
||||
"w":width,
|
||||
"h": height,
|
||||
"angle" : "0"
|
||||
})
|
||||
|
||||
# 画出中心点
|
||||
ax.scatter(center_x, center_y, color='red', marker='o', s=10)
|
||||
|
||||
# 更新边界
|
||||
x_min = min(x_min, x)
|
||||
x_max = max(x_max, x + row[col('D')])
|
||||
y_min = min(y_min, y)
|
||||
y_max = max(y_max, y + row[col('E')])
|
||||
|
||||
# 绘制矩形
|
||||
rect = Rectangle((x, y), row[col('D')], row[col('E')], linewidth=1, edgecolor='r', facecolor='none')
|
||||
rect = Rectangle((x_left_bottom, y_left_bottom),width, height, linewidth=1, edgecolor='r', facecolor='none')
|
||||
ax.add_patch(rect)
|
||||
|
||||
# 在矩形中心绘制编号(A列)
|
||||
@ -87,21 +95,21 @@ for index, row in df.iloc[2:30].iterrows():
|
||||
|
||||
# 在矩形上边绘制宽度(D列)
|
||||
ax.text(
|
||||
x + row[col('D')] / 2, y + row[col('E')], str(row[col('D')]),
|
||||
x + row[col('D')] / 2, y_left_bottom + row[col('E')], str(row[col('D')]),
|
||||
ha='center', va='bottom',
|
||||
fontsize=6, color='green' # 宽度字体大小为10,颜色为绿色
|
||||
)
|
||||
|
||||
# 在矩形右边绘制高度(E列)
|
||||
ax.text(
|
||||
x + row[col('D')], y + row[col('E')] / 2, str(row[col('E')]),
|
||||
x + width, y_left_bottom + height / 2, height,
|
||||
ha='left', va='center',
|
||||
fontsize=6, color='red' # 高度字体大小为10,颜色为红色
|
||||
)
|
||||
|
||||
# 设置坐标轴的范围,外扩100左右
|
||||
ax.set_xlim(x_min, x_max ) # 留出一些边距
|
||||
ax.set_ylim(y_min, y_max ) # 留出一些边距
|
||||
# 设置坐标轴的范围
|
||||
# ax.set_xlim(x_min, x_max ) # 留出一些边距
|
||||
# ax.set_ylim(y_min, y_max ) # 留出一些边距
|
||||
|
||||
# 设置坐标轴的比例
|
||||
ax.set_aspect('equal')
|
||||
|
BIN
image_framework_33.dll
Normal file
54
points.txt
@ -1,27 +1,27 @@
|
||||
[(4366.0, 226.0), (5816.0, 226.0), (5816.0, 476.0), (4366.0, 476.0)]
|
||||
[(4963.0, 604.0), (5263.0, 604.0), (5263.0, 904.0), (4963.0, 904.0)]
|
||||
[(4147.5, 804.0), (4647.5, 804.0), (4647.5, 1305.0), (4147.5, 1305.0)]
|
||||
[(4995.0, 1024.0), (5643.0, 1024.0), (5643.0, 1274.0), (4995.0, 1274.0)]
|
||||
[(4574.0, 1418.0), (4824.0, 1418.0), (4824.0, 1668.0), (4574.0, 1668.0)]
|
||||
[(4131.0, 1626.0), (4380.0, 1626.0), (4380.0, 1875.0), (4131.0, 1875.0)]
|
||||
[(5287.0, 1755.0), (5686.0, 1755.0), (5686.0, 2155.0), (5287.0, 2155.0)]
|
||||
[(4742.0, 2009.0), (5044.0, 2009.0), (5044.0, 2309.0), (4742.0, 2309.0)]
|
||||
[(4140.0, 2007.0), (4442.0, 2007.0), (4442.0, 2307.0), (4140.0, 2307.0)]
|
||||
[(2373.5, 221.0), (3820.5, 221.0), (3820.5, 469.0), (2373.5, 469.0)]
|
||||
[(2940.0, 598.0), (3237.0, 598.0), (3237.0, 896.0), (2940.0, 896.0)]
|
||||
[(2146.5, 791.0), (2645.5, 791.0), (2645.5, 1290.0), (2146.5, 1290.0)]
|
||||
[(2968.5, 1024.0), (3616.5, 1024.0), (3616.5, 1269.0), (2968.5, 1269.0)]
|
||||
[(2574.0, 1427.0), (2821.0, 1427.0), (2821.0, 1674.0), (2574.0, 1674.0)]
|
||||
[(2165.0, 1634.0), (2412.0, 1634.0), (2412.0, 1880.0), (2165.0, 1880.0)]
|
||||
[(3291.5, 1756.0), (3683.5, 1756.0), (3683.5, 2154.0), (3291.5, 2154.0)]
|
||||
[(2746.0, 1997.0), (3039.0, 1997.0), (3039.0, 2297.0), (2746.0, 2297.0)]
|
||||
[(2137.0, 1995.0), (2434.0, 1995.0), (2434.0, 2293.0), (2137.0, 2293.0)]
|
||||
[(372.0, 222.0), (1819.0, 222.0), (1819.0, 467.0), (372.0, 467.0)]
|
||||
[(962.0, 596.0), (1262.0, 596.0), (1262.0, 891.0), (962.0, 891.0)]
|
||||
[(142.0, 781.0), (637.0, 781.0), (637.0, 1279.0), (142.0, 1279.0)]
|
||||
[(986.0, 1028.0), (1634.0, 1028.0), (1634.0, 1273.0), (986.0, 1273.0)]
|
||||
[(616.5, 1419.0), (862.5, 1419.0), (862.5, 1664.0), (616.5, 1664.0)]
|
||||
[(172.0, 1613.0), (417.0, 1613.0), (417.0, 1858.0), (172.0, 1858.0)]
|
||||
[(1294.5, 1756.0), (1686.5, 1756.0), (1686.5, 2154.0), (1294.5, 2154.0)]
|
||||
[(746.5, 1993.0), (1042.5, 1993.0), (1042.5, 2291.0), (746.5, 2291.0)]
|
||||
[(148.0, 1998.0), (443.0, 1998.0), (443.0, 2295.0), (148.0, 2295.0)]
|
||||
[[4366.0, 226.0], [5816.0, 226.0], [5816.0, 476.0], [4366.0, 476.0]]
|
||||
[[4963.0, 604.0], [5263.0, 604.0], [5263.0, 904.0], [4963.0, 904.0]]
|
||||
[[4147.5, 804.0], [4647.5, 804.0], [4647.5, 1305.0], [4147.5, 1305.0]]
|
||||
[[4995.0, 1024.0], [5643.0, 1024.0], [5643.0, 1274.0], [4995.0, 1274.0]]
|
||||
[[4574.0, 1418.0], [4824.0, 1418.0], [4824.0, 1668.0], [4574.0, 1668.0]]
|
||||
[[4131.0, 1626.0], [4380.0, 1626.0], [4380.0, 1875.0], [4131.0, 1875.0]]
|
||||
[[5287.0, 1755.0], [5686.0, 1755.0], [5686.0, 2155.0], [5287.0, 2155.0]]
|
||||
[[4742.0, 2009.0], [5044.0, 2009.0], [5044.0, 2309.0], [4742.0, 2309.0]]
|
||||
[[4140.0, 2007.0], [4442.0, 2007.0], [4442.0, 2307.0], [4140.0, 2307.0]]
|
||||
[[2373.5, 221.0], [3820.5, 221.0], [3820.5, 469.0], [2373.5, 469.0]]
|
||||
[[2940.0, 598.0], [3237.0, 598.0], [3237.0, 896.0], [2940.0, 896.0]]
|
||||
[[2146.5, 791.0], [2645.5, 791.0], [2645.5, 1290.0], [2146.5, 1290.0]]
|
||||
[[2968.5, 1024.0], [3616.5, 1024.0], [3616.5, 1269.0], [2968.5, 1269.0]]
|
||||
[[2574.0, 1427.0], [2821.0, 1427.0], [2821.0, 1674.0], [2574.0, 1674.0]]
|
||||
[[2165.0, 1634.0], [2412.0, 1634.0], [2412.0, 1880.0], [2165.0, 1880.0]]
|
||||
[[3291.5, 1756.0], [3683.5, 1756.0], [3683.5, 2154.0], [3291.5, 2154.0]]
|
||||
[[2746.0, 1997.0], [3039.0, 1997.0], [3039.0, 2297.0], [2746.0, 2297.0]]
|
||||
[[2137.0, 1995.0], [2434.0, 1995.0], [2434.0, 2293.0], [2137.0, 2293.0]]
|
||||
[[372.0, 222.0], [1819.0, 222.0], [1819.0, 467.0], [372.0, 467.0]]
|
||||
[[962.0, 596.0], [1262.0, 596.0], [1262.0, 891.0], [962.0, 891.0]]
|
||||
[[142.0, 781.0], [637.0, 781.0], [637.0, 1279.0], [142.0, 1279.0]]
|
||||
[[986.0, 1028.0], [1634.0, 1028.0], [1634.0, 1273.0], [986.0, 1273.0]]
|
||||
[[616.5, 1419.0], [862.5, 1419.0], [862.5, 1664.0], [616.5, 1664.0]]
|
||||
[[172.0, 1613.0], [417.0, 1613.0], [417.0, 1858.0], [172.0, 1858.0]]
|
||||
[[1294.5, 1756.0], [1686.5, 1756.0], [1686.5, 2154.0], [1294.5, 2154.0]]
|
||||
[[746.5, 1993.0], [1042.5, 1993.0], [1042.5, 2291.0], [746.5, 2291.0]]
|
||||
[[148.0, 1998.0], [443.0, 1998.0], [443.0, 2295.0], [148.0, 2295.0]]
|
||||
|
@ -1,7 +1 @@
|
||||
```pycon
|
||||
self.image_framework = ImageFramework()
|
||||
self.image_framework.signals.on_image_detect_result.connect(
|
||||
lambda data: self.image_result(data))
|
||||
self.image_framework.configure()
|
||||
self.image_framework.start()
|
||||
```
|
||||
conda env create -f environment.yaml
|
BIN
result/hy_1/output.jpg
Normal file
After Width: | Height: | Size: 11 MiB |
BIN
result/hy_1/output.ply
Normal file
BIN
result/hy_1/result.jpg
Normal file
After Width: | Height: | Size: 122 KiB |
BIN
result/hy_1/result2.jpg
Normal file
After Width: | Height: | Size: 142 KiB |
64
result/hy_1/roi_conners.txt
Normal file
@ -0,0 +1,64 @@
|
||||
6911
|
||||
3175
|
||||
7935
|
||||
3175
|
||||
7935
|
||||
4142
|
||||
6911
|
||||
4142
|
||||
5578
|
||||
3808
|
||||
6623
|
||||
3808
|
||||
6623
|
||||
4761
|
||||
5578
|
||||
4761
|
||||
2677
|
||||
5089
|
||||
5214
|
||||
5089
|
||||
5214
|
||||
6179
|
||||
2677
|
||||
6179
|
||||
2613
|
||||
2198
|
||||
4142
|
||||
2198
|
||||
4142
|
||||
3607
|
||||
2613
|
||||
3607
|
||||
73
|
||||
1746
|
||||
1314
|
||||
1746
|
||||
1314
|
||||
2799
|
||||
73
|
||||
2799
|
||||
52
|
||||
3066
|
||||
1092
|
||||
3066
|
||||
1092
|
||||
3997
|
||||
52
|
||||
3997
|
||||
4815
|
||||
1805
|
||||
5951
|
||||
1805
|
||||
5951
|
||||
2849
|
||||
4815
|
||||
2849
|
||||
6774
|
||||
1829
|
||||
7896
|
||||
1829
|
||||
7896
|
||||
2869
|
||||
6774
|
||||
2869
|
@ -1,24 +1,64 @@
|
||||
1131
|
||||
2007
|
||||
5900
|
||||
2007
|
||||
5900
|
||||
5376
|
||||
1131
|
||||
5376
|
||||
2004
|
||||
2958
|
||||
3142
|
||||
2958
|
||||
3142
|
||||
3948
|
||||
2004
|
||||
3948
|
||||
3887
|
||||
2919
|
||||
4839
|
||||
2919
|
||||
4839
|
||||
3902
|
||||
3887
|
||||
3902
|
||||
6911
|
||||
3175
|
||||
7935
|
||||
3175
|
||||
7935
|
||||
4142
|
||||
6911
|
||||
4142
|
||||
5578
|
||||
3808
|
||||
6623
|
||||
3808
|
||||
6623
|
||||
4761
|
||||
5578
|
||||
4761
|
||||
2677
|
||||
5089
|
||||
5214
|
||||
5089
|
||||
5214
|
||||
6179
|
||||
2677
|
||||
6179
|
||||
2613
|
||||
2198
|
||||
4142
|
||||
2198
|
||||
4142
|
||||
3607
|
||||
2613
|
||||
3607
|
||||
73
|
||||
1746
|
||||
1314
|
||||
1746
|
||||
1314
|
||||
2799
|
||||
73
|
||||
2799
|
||||
52
|
||||
3066
|
||||
1092
|
||||
3066
|
||||
1092
|
||||
3997
|
||||
52
|
||||
3997
|
||||
4815
|
||||
1805
|
||||
5951
|
||||
1805
|
||||
5951
|
||||
2849
|
||||
4815
|
||||
2849
|
||||
6774
|
||||
1829
|
||||
7896
|
||||
1829
|
||||
7896
|
||||
2869
|
||||
6774
|
||||
2869
|
||||
|