碳灰面包 a1da9df94d version 0.12
返回的json里新增元件框数据
2025-06-22 15:59:16 +08:00

243 lines
8.1 KiB
Python

import json
import datetime
import wires_recog
import ele_recog
import cv2
import time
import numpy as np
import base64
# 生成json数据
def generate_json(wires, components):
vertices = []
elements = []
vertix_count = 0
element_count = 0
labels = {"微安电流表": "ammeter",
"待测表头": "ammeter",
"电阻箱": "RESISTOR_BOX",
"滑动变阻器": "VARIABLE_RESISTOR",
"单刀双掷开关": "switch",
"电源": "BATTERY",
"电阻": "RESISTOR",
"黑盒电流表": "ammeter",
"螺线管": "solenoid"
}
for comp in components:
bbox = comp["bbox"]
label = labels[comp["label"]]
elem = {
"id": f"element_{element_count}",
"startVertexId": "",
"endVertexId": "",
"type": label,
}
if bbox[2]-bbox[0] >= bbox[3] - bbox[1]:
vertix = {
"id": f"vertix_{vertix_count}",
"x": bbox[0] + ((bbox[2] - bbox[0]) / 10),
"y": bbox[1] + ((bbox[3] - bbox[1]) / 3),
}
elem["startVertexId"] = vertix["id"]
vertices.append(vertix)
vertix_count += 1
vertix = {
"id": f"vertix_{vertix_count}",
"x": bbox[0] + ((bbox[2] - bbox[0]) * 9 / 10),
"y": bbox[1] + ((bbox[3] - bbox[1]) / 3),
}
elem["endVertexId"] = vertix["id"]
vertices.append(vertix)
vertix_count += 1
else:
vertix = {
"id": f"vertix_{vertix_count}",
"x": bbox[0] + ((bbox[2] - bbox[0]) / 2),
"y": bbox[1] + ((bbox[3] - bbox[1]) / 9),
}
elem["startVertexId"] = vertix["id"]
vertices.append(vertix)
vertix_count += 1
vertix = {
"id": f"vertix_{vertix_count}",
"x": bbox[0] + ((bbox[2] - bbox[0]) / 2),
"y": bbox[1] + ((bbox[3] - bbox[1]) * 8 / 9),
}
elem["endVertexId"] = vertix["id"]
vertices.append(vertix)
vertix_count += 1
if label == "switch":
elem["closed"] = False
elif label == "ammeter":
elem["resistance"] = 1
elem["type"] = "seriesAmmeter"
elem["customLabel"] = "电流表"
elem["customDisplayFunction"] = "i => `${i.toFixed(2)} A`"
elif label == "voltmeter":
elem["resistance"] = 1
elem["type"] = "seriesAmmeter"
elem["customLabel"] = "电压表"
elem["customDisplayFunction"] = "i => `${i.toFixed(2)} V`"
elif label == "RESISTOR_BOX" or label == "VARIABLE_RESISTOR" or label == "RESISTOR":
elem["type"] = "resistor"
elem["resistorType"] = label
elem["resistance"] = 10
elif label == "battery":
elem["voltage"] = 9
elem["batterType"] = "BATTERRY"
elem["internalResistance"] = 0.01
elif label == "resistor":
elem["resistorType"] = "RESISTOR"
elem["resistance"] = 1
elements.append(elem)
element_count += 1
def find_nearest(point):
min_dist = float('inf')
nearest_vertex = None
for vertex in vertices:
ver = (vertex["x"], vertex["y"])
dist = np.linalg.norm(np.array(point) - np.array(ver))
if dist < min_dist:
min_dist = dist
nearest_vertex = vertex
return nearest_vertex
# 加入wire
for wire in wires:
wire_start = (wire["start"]["x"], wire["start"]["y"])
wire_end = (wire["end"]["x"], wire["end"]["y"])
nearest_start = find_nearest(wire_start)
nearest_end = find_nearest(wire_end)
elements.append({
"id": f"element_{element_count}",
"startVertexId": nearest_start["id"],
"endVertexId": nearest_end["id"],
"type": "wire",
"resistance": 3e-8
})
element_count += 1
data = {
"formatVersion": "1.0",
"metadata": {
"title": "Exported Circuit",
"description": "Circuit exported from image",
"created": datetime.datetime.now(datetime.UTC).isoformat() + "Z"
},
"vertices": vertices,
"elements": elements,
"displaySettings": {
"showCurrent": True,
"currentType": "electrons",
"wireResistivity": 1e-10,
"sourceResistance": 0.0001
}
}
return data
def visualize_wires_and_components(image, results, components):
original = image
img = cv2.resize(original, (1000, int(original.shape[0] * 1000 / original.shape[1])))
if img is None:
raise FileNotFoundError(f"无法读取图像:")
for p in results["vertices"]:
point = (int(p["x"]), int(p["y"]))
cv2.circle(img, point, 6, (0, 0, 255), -1)
# ==== 画导线 ====
for wire in results["elements"]:
if wire["type"] != "wire":
continue
point = wire["startVertexId"]
for v in results["vertices"]:
if v["id"] == point:
point = v
start = (int(point["x"]), int(point["y"]))
point = wire["endVertexId"]
for v in results["vertices"]:
if v["id"] == point:
point = v
end = (int(point["x"]), int(point["y"]))
# 起点:红色,终点:蓝色
cv2.circle(img, start, 6, (0, 0, 255), -1)
cv2.circle(img, end, 6, (255, 0, 0), -1)
cv2.line(img, start, end, (0, 255, 255), 2)
cv2.putText(img, "start", (start[0]+5, start[1]-5), cv2.FONT_HERSHEY_SIMPLEX, 0.4, (0, 0, 255), 1)
cv2.putText(img, "end", (end[0]+5, end[1]-5), cv2.FONT_HERSHEY_SIMPLEX, 0.4, (255, 0, 0), 1)
# ==== 画元件框 ====
labels = {"微安电流表": "ammeter",
"待测表头": "ammeter",
"电阻箱": "RESISTOR_BOX",
"滑动变阻器": "VARIABLE_RESISTOR",
"单刀双掷开关": "switch",
"电源": "BATTERY",
"电阻": "RESISTOR",
"黑盒电流表": "ammeter",
"螺线管": "solenoid"
}
for comp in components:
label = labels[comp["label"]]
x1, y1, x2, y2 = comp["bbox"]
cv2.rectangle(img, (x1, y1), (x2, y2), (0, 128, 0), 2)
cv2.putText(img, label, (x1, y1 - 8), cv2.FONT_HERSHEY_SIMPLEX, 0.5, (0, 128, 0), 2)
_, encode_img = cv2.imencode('.jpg', img)
img_base64 = base64.b64encode(encode_img).decode('utf-8')
# cv2.imwrite('output.jpg', img)
# cv2.namedWindow("Wires and Components", cv2.WINDOW_NORMAL)
# cv2.imshow("Wires and Components", img)
# cv2.waitKey(0)
# cv2.destroyAllWindows()
return img_base64
# 显示图像
# resized = cv2.resize(img, (0, 0), fx=0.6, fy=0.6)
def img_recognition(img):
wires = wires_recog.detect_wires_and_endpoints(img)
elements = ele_recog.elements_recognition(img)
results = generate_json(wires, elements)
results_img = visualize_wires_and_components(img, results, elements)
sumx = 0
sumy = 0
for tmp in results["vertices"]:
sumx += tmp["x"]
sumy += tmp["y"]
for i in range(len(results["vertices"])):
results["vertices"][i]["x"] -= sumx/len(results["vertices"])
results["vertices"][i]["y"] -= sumy/len(results["vertices"])
results["vertices"][i]["x"] *= 0.6
results["vertices"][i]["y"] *= 0.6
request = {
"success": True,
"recognizedImage": f"data:image/jpeg;base64,{results_img}",
"circuitData": results,
"components": elements
}
# with open('test.json', "w") as f:
# json.dump(request, f, indent=2)
# print(f"✅ 已导出电路 JSON 至 {'result_json'}")
return request
# if __name__ == '__main__':
# start = time.perf_counter()
# imgs_path = [
#
# ]
# for img_path in imgs_path:
# img_recognition(img_path)
# end = time.perf_counter()
# print(f"处理{len(imgs_path)}张图片耗时:{end - start:.2f}s")