CameraParameters:= ['area_scan_division',0.00640046,10205.5,1.91206e-06,1.9e-06,1503.65,1915.07,3024,4032] CameraPose := [0.000284489,0.00953188,0.226499,10.3425,0.0209458,0.458095,0] CamParVirtualFixed:=CameraParameters dev_close_window () dev_open_window (0, 0, 360, 270, 'black', WindowHandle) picture_number := 50 for Index := 1 to picture_number by 1 read_image (Image, 'C:/Users/Lenovo/Desktop/视觉课作业/大作业/卡片正面照片/' + str(Index, '0.4f') + '.JPG') gen_radial_distortion_map(MapFixed,CameraParameters,CamParVirtualFixed,'bilinear') map_image(Image,MapFixed,ImageRectifiedFixed) write_image (ImageRectifiedFixed, 'png', 0, 'C:/Users/Lenovo/Desktop/视觉课作业/大作业/正面畸变校正后/' + str(Index, '0.4f') + '.JPG') endfor

js_area_select.rar_area-select_area_select_area_select._js selec

不错的javascript地区联动,可以实现一级,二级,或多级联动,可根据自己需要调整.

23825750area-load.zip_23825750area-load_area load_area-load_load

包含内容：Wi-Fi_IEEE802.11ax_D8.0_202008.pdf + 802.11-2016.pdf

Draft Standard for information technology---Telecommunicaitons and information exchange between systems Local and metropolitan area networks---Specific requirements Part 11：Wireless LAN Medium Access...

series_add_price = mean_price[:27] area_list = series_add_price.index.to_list() price_list = list(series_add_price.values)

这段代码的作用是将均价的前27个数据取出来，并将其索引转换为列表形式存储在 area_list 中，同时将均价的前27个数据转换为列表形式存储在 price_list 中。具体解释如下： - mean_price[:27]：取出 mean_...

分析class MemoryManager: def init(self, allocator): self.allocator = allocator self.process_list = [] def allocate(self, process, request_size): block_start = -1 end = -1 memory_view = self.allocator.memory_view() i = 0 while i < 256: if memory_view[i] == None: if end < 0: end = i if (memory_view[i] is not None) and (end >= 0): move_lenght = i - end k = memory_view[i] for j in self.process_list: if j == k: a = j.get_memory() j_start = a[0] self.allocator.free_memory(j) length_area = j.block j_start = j_start - move_lenght self.allocator.allocate_memory(j_start, length_area, j) memory_view = self.allocator.memory_view() i = -1 break end = -1 i = i + 1 memory_view = self.allocator.memory_view() for j in range(len(memory_view)): # 0~255 if memory_view[j] == None: if block_start < 0: block_start = j if (memory_view[j] is not None) and (block_start >= 0): if j - block_start == request_size: break elif j - block_start < request_size: block_start = -1 self.process_list.append(process) self.allocator.allocate_memory(block_start, request_size, process)

这是一个内存管理器MemoryManager的类定义，它有一个构造函数__init__和一个分配内存的函数allocate。构造函数接受一个分配器（allocator）作为输入参数，并将其...如果没有找到合适的块，则将block_start设置为-1。

完善代码：import math class Triangle: def init(self, a, b, c): self.a = a self.b = b self.__c = c def get_area(self): h = (self.a+self.b+self.c)/2 s = math.sqrt(h(h-self.a)(h-self.b)*(h-self.c)) print(f'三角形的面积：{s}') tri = Triangle(3, 4, 5)

代码已经很完整了，只需要添加一行代码来调用 get_area() 方法即可计算三角形的面积，如下所示： tri.get_area() 完整代码如下： python import math class Triangle: def __init__(self, a, b, c...

def big_countries(world: pd.DataFrame) -> pd.DataFrame:

该函数的目的是过滤出符合条件的国家，并返回一个新的DataFrame，包含'name'、'population'和'area'这三列的数据。通过使用条件判断，将满足条件的行筛选出来，然后再选择所需的列返回。具体的实现方法有两种，一种...

SELECT b.CallerNum, b.Duration duration, min(b.CRT_TIME_) abnormalTime, count(b.CallerNum) abnormalCallNumber, count(b.CallerNum) abnormalCallTotal FROM basebill b left join billdetails b2 on b.base_bill_id =b2.base_bill_id where b2.area_code_ != 86 and b.billType = 1 and b.IS_DELETE_ = 0 and b.CRT_TIME_ >= '2023-06-06 13:00:00' and b.CRT_TIME_ <= '2023-06-06 15:00:00' and ( (b.Duration >=900) or (b.CallerNum in (SELECT b.CallerNum FROM basebill b left join billdetails b2 on b.base_bill_id =b2.base_bill_id where b2.area_code_ != 86 and b.billType = 1 and b.IS_DELETE_ = 0 and b.CRT_TIME_ >= '2023-06-06 13:00:00' and b.CRT_TIME_ <= '2023-06-06 15:00:00' GROUP BY b.CallerNum HAVING COUNT(b.CallerNum) >= 5)) or ((SELECT COUNT(*) FROM basebill b1 left join billdetails b2 on b1.base_bill_id =b2.base_bill_id where b2.area_code_ != 86 and b1.billType = 1 and b1.IS_DELETE_ = 0 and b1.CRT_TIME_ >= '2023-06-06 13:00:00' and b1.CRT_TIME_ <= '2023-06-06 15:00:00' and b1.CallerNum = b.CallerNum ) >= 10) ) group by b.CallerNum优化这条sql的查询速度，具体做法

= 86 AND b.billType = 1 AND b.IS_DELETE_ = 0 AND b.CRT_TIME_ >= '2023-06-06 13:00:00' AND b.CRT_TIME_ <= '2023-06-06 15:00:00' AND (b.Duration >= 900 OR t1.CallerNum IS NOT NULL OR t2.CallerNum IS NOT...

if not game_over: curTime=time.time() if curTime-last_move_time>speed: ### if not pause: b=True last_move_time=curTime next_s = (snake[0][0] + pos[0], snake[0][1] + pos[1]) if next_s==food: snake.appendleft(next_s) score+=food_color[0] speed = orispeed - 0.03 * (score // 5) food = Creat_Food(snake) food_color = Food_Color() else: if Area_x[0]<=next_s[0]<=Area_x[1] and Area_y[0]<=next_s[1]<=Area_y[1] and next_s not in snake: snake.appendleft(next_s) snake.pop() else : game_over=True的具体内容

6. 如果下一个位置不是食物，但在游戏区域内（Area_x和Area_y），并且不与蛇的身体相交，则将其加入到蛇的头部，同时将蛇尾弹出。 7. 如果下一个位置不符合上述条件，则游戏结束（game_over=True）。总的来说，这...

class Jiaju: def int(self): self.type='美式复古风' self.jiajuarea=0 def str(self): return f'家具为：{self.type},家具面积是：{self.jiajuarea}' class Home: def init(self, address, area): self.address = address self.area = area self.free_area = area def str(self): return f"房子在:{self.address},面积为:{self.area},剩余空间是:{self.free_area}"解释一下代码意思

Home类表示房子，它具有三个属性address（房子地址）、area（房子总面积）和free_area（剩余空间）。在__init__方法中，通过参数来初始化这三个属性。__str__方法用于返回房子对象的字符串表示形式，...

给出各拟合曲线的误差MSE：import numpy as np import pandas as pd import matplotlib.pyplot as plt from scipy.stats import zscore import numpy as np from sklearn import linear_model from sklearn.preprocessing import PolynomialFeatures data = np.loadtxt('tb.txt', delimiter=',') # a=data[:,0] area = data[:, 0] price = data[:, 1] length = len(area) area = np.array(area).reshape([length, 1]) price = np.array(price) minx = min(area) maxx = max(area) x = np.arange(minx, maxx).reshape([-1, 1]) poly=PolynomialFeatures(degree=2) poly3=PolynomialFeatures(degree=3) poly4=PolynomialFeatures(degree=4) #poly5=PolynomialFeatures(degree=5) area_poly=poly.fit_transform(area) area_poly3=poly3.fit_transform(area) area_poly4=poly4.fit_transform(area) linear2 = linear_model.LinearRegression() linear2.fit(area_poly, price) linear3 = linear_model.LinearRegression() linear3.fit(area_poly3, price) linear4 = linear_model.LinearRegression() linear4.fit(area_poly4, price) #查看回归方程系数 print('Cofficients:',linear4.coef_) #查看回归方程截距 print('intercept',linear4.intercept_) plt.scatter(area, price, color='red') plt.plot(x, linear2.predict(poly.fit_transform(x)), color='blue') plt.plot(x, linear3.predict(poly3.fit_transform(x)), linestyle='--') plt.plot(x, linear4.predict(poly4.fit_transform(x)), linestyle='-.') plt.legend(['degree=0','degree=2','degree=3','degree=4']) plt.xlabel('Year') plt.ylabel('Price') plt.show() # 2022 year_2022 = np.array([[2022]]) area_2022_poly = poly.transform(year_2022) area_2022_poly3 = poly3.transform(year_2022) area_2022_poly4 = poly4.transform(year_2022) price_2022_degree2 = linear2.predict(area_2022_poly) price_2022_degree3 = linear3.predict(area_2022_poly3) price_2022_degree4 = linear4.predict(area_2022_poly4) print("Predicted price in 2022 (degree=2):", price_2022_degree2[0]) print("Predicted price in 2022 (degree=3):", price_2022_degree3[0]) print("Predicted price in 2022 (degree=4):", price_2022_degree4[0]) # 2023 year_2023 = np.array([[2023]]) area_2023_poly = poly.transform(year_2023) area_2023_poly3 = poly3.transform(year_2023) area_2023_poly4 = poly4.transform(year_2023) price_2023_degree2 = linear2.predict(area_2023_poly) price_2023_degree3 = linear3.predict(area_2023_poly3) price_2023_degree4 = linear4.predict(area_2023_poly4) print("Predicted price in 2023 (degree=2):", price_2023_degree2[0]) print("Predicted price in 2023 (degree=3):", price_2023_degree3[0]) print("Predicted price in 2023 (degree=4):", price_2023_degree4[0])

plt.plot(x, linear4.predict(poly4.fit_transform(x)), linestyle='-.') plt.legend(['degree=0','degree=2','degree=3','degree=4']) plt.xlabel('Year') plt.ylabel('Price') plt.show() # 2022 year_2022 ...

函数def validate_entries(): student_id = student_id_entry.get() name = name_entry.get() major = major_entry.get() if not student_id.isdigit() or not name.isalpha() or not major.isalpha(): messagebox.showerror("错误", "学号、姓名和专业必须符合要求（学号为数字，姓名和专业为字符）") elif not student_id or not name or not major: messagebox.showerror("错误", "学号、姓名和专业不能为空") else: display_text = f"学号：{student_id}\n姓名：{name}\n专业：{major}" display_text_area.config(state=tk.NORMAL) display_text_area.delete("1.0", tk.END) display_text_area.insert(tk.END, display_text) display_text_area.config(state=tk.DISABLED)如何将内容传给display_frame = tk.Frame(root) display_frame.pack(padx=10, pady=10) display_label = tk.Label(display_frame, text="已录入学生信息：") display_label.pack() display_text_area = tk.Text(display_frame, height=5, width=30) display_text_area.pack() display_text_area.config(state=tk.DISABLED)

display_text_area = tk.Text(display_frame, height=5, width=30) display_text_area.pack() display_text_area.config(state=tk.DISABLED) validate_button = tk.Button(root, text="验证并提交", command=lambda...

http://10.112.11.185:21980/sxgd_unicom/EPGV2?nns_func=get_playbill_by_days&nns_video_id=9ec9136beb3aed731af809cb8fe1c324&nns_before_day=6&nns_after_day=1&nns_output_type=json&nns_tag=26&nns_mac_id=B4%3A01%3A42%3A76%3A49%3A36&nns_device_id=00000414001B06500001B40142764936&nns_webtoken=1fbd1d45e8190a486c98d753877f8431&nns_user_id=zxgqtest&nns_version=1.0.0.0.SXGDXMT.HDZB.STB.Release&nns_area_code=156140003组成部分

- nns_video_id=9ec9136beb3aed731af809cb8fe1c324 - nns_before_day=6 - nns_after_day=1 - nns_output_type=json - nns_tag=26 - nns_mac_id=B4%3A01%3A42%3A76%3A49%3A36 - nns_device_id=00000414001B...

class Cylinder: def init(self, radius, height): self.radius = radius self.height = height self.base_area = math.pi * radius**2

这是一个圆柱体类Cylinder的定义，其中包含圆柱体的底面积半径和高度等属性以及计算圆柱体底面积的...c = Cylinder(5, 10) print("圆柱体的底面积为：", c.base_area()) print("圆柱体的体积为：", c.volume())

SELECT * FROM wsy_o2o.weixin_cityarea_orders a LEFT JOIN taocat.bankhead b WHERE a.status = 4 and a.pay_status = 1 and a.createtime BETWEEN '2023-06-12 00:00:00' and '2023-06-12 23:59:59'; 报错

WHERE a.status = 4 AND a.pay_status = 1 AND a.createtime BETWEEN '2023-06-12 00:00:00' AND '2023-06-12 23:59:59'; 这个 SQL 查询语句将 wsy_o2o.weixin_cityarea_orders 表和 taocat.bankhead 表...

update ipccpcdr i left join asterisk.queues_info q on i.Queue = q.queue_index set i.area_id = q.area_id where i.area_id='' limit 1000 优化之后的语句

1. 在 ipccpcdr 表的 Queue 字段和 asterisk.queues_info 表的 queue_index 字段上创建索引，以加快连接过程和查询速度。 2. 增加 ORDER BY i.id，以确保每次更新的记录顺序是稳定的，避免因为顺序不稳定...

FUNC(uint16, NVM_CODE) NvM_QueuePop(void) { uint16 nextBlockId = NVM_INIT_0; SchM_Enter_NVM_EXCLUSIVE_AREA(); /* Check if there is a single block request. / if( Nvm_QueueHeader.Counter > NVM_INIT_0 ) { / Find the block id at the head of the queue. / nextBlockId = Nvm_QueueHeader.FirstBlockId; / Point to the next block in the queue. / Nvm_QueueHeader.FirstBlockId = NvM_gstaBlockVar[nextBlockId].NxtBlockId; / Check if the pushed block is the end of the queue. / if( NVM_QUEUE_CURRENTBLOCKID == NvM_gstaBlockVar[nextBlockId].NxtBlockId ) { Nvm_QueueHeader.LastBlockId = NvM_gstaBlockVar[nextBlockId].NxtBlockId; } else { / Clear the link relationship of the block. / NvM_gstaBlockVar[nextBlockId].NxtBlockId = NVM_QUEUE_CURRENTBLOCKID; } / Queue length minus one. / Nvm_QueueHeader.Counter--; / Check if the pushed block is immediate write type. / if( (NVM_WRITE_BLOCK == NvM_gstaBlockVar[nextBlockId].CtrlType) && (NVM_BLOCK_HIGHEST_PRI ==NvM_gstaBlockVar[nextBlockId].Priority) ) { if( Nvm_QueueHeader.CounterImmediate > NVM_INIT_0 ) { / Immediate queue length minus one. */ Nvm_QueueHeader.CounterImmediate--; } } } SchM_Exit_NVM_EXCLUSIVE_AREA(); return nextBlockId; }逐句解释代码

进入一个名为 NVM_EXCLUSIVE_AREA 的互斥区域，该互斥区域用于保护共享资源，避免多个任务同时访问导致竞争条件。 if( Nvm_QueueHeader.Counter > NVM_INIT_0 ) 如果队列中有请求，则执行下面的代码块。...

import arcpy # 设置工具箱参数 input_features = arcpy.GetParameterAsText(0) # 输入要素图层 join_features = arcpy.GetParameterAsText(1) # 连接要素图层 output_features = arcpy.GetParameterAsText(2) # 输出要素图层 join_fields = arcpy.GetParameterAsText(3).split(';') # 连接要素图层中需要赋值的字段，用“;”隔开 area_threshold = arcpy.GetParameterAsText(4) # 面积阈值，只有面积大于该值的要素才会被连接 # 创建空间连接对象 spatial_join = arcpy.SpatialJoin_analysis(target_features=input_features, join_features=join_features, out_feature_class=output_features, join_operation="JOIN_ONE_TO_MANY", join_type="KEEP_ALL", match_option="INTERSECT") # 根据面积阈值进行筛选 if len(area_threshold) > 0: arcpy.SelectLayerByAttribute_management(in_layer_or_view=spatial_join, where_clause="Shape_Area >= {}".format(area_threshold)) # 设置字段映射 field_mapping = arcpy.FieldMappings() for field in join_fields: field_map = arcpy.FieldMap() field_map.addInputField(spatial_join, field) output_field = field_map.outputField output_field.name = "{}_{}".format(join_features, field) field_map.outputField = output_field field_mapping.addFieldMap(field_map) # 对要素进行赋值 arcpy.FeatureClassToFeatureClass_conversion(spatial_join, output_features, "", field_mapping)运行错误：IndentationError: unexpected indent (空间连接.py, line 17) 执行(空间连接多对一)失败。请改正代码

if len(area_threshold) > 0: arcpy.SelectLayerByAttribute_management(in_layer_or_view=spatial_join, where_clause="Shape_Area >= {}".format(area_threshold)) # 设置字段映射 field_mapping = arcpy....

translation this code to c:def filter_box(org_box, conf_thres, iou_thres): org_box = np.squeeze(org_box) conf = org_box[..., 4] > conf_thres box = org_box[conf == True] print('box:') print(box.shape) cls_cinf = box[..., 5:] cls = [] for i in range(len(cls_cinf)): cls.append(int(np.argmax(cls_cinf[i]))) all_cls = list(set(cls)) output = [] for i in range(len(all_cls)): curr_cls = all_cls[i] curr_cls_box = [] curr_out_box = [] for j in range(len(cls)): if cls[j] == curr_cls: box[j][5] = curr_cls curr_cls_box.append(box[j][:6]) curr_cls_box = np.array(curr_cls_box) curr_cls_box = xywh2xyxy(curr_cls_box) curr_out_box = nms(curr_cls_box, iou_thres) for k in curr_out_box: output.append(curr_cls_box[k]) output = np.array(output) return output

float union_area = a_area + b_area - inter_area; return inter_area / union_area; } void xywh2xyxy(float* box) { float x = box[0], y = box[1], w = box[2], h = box[3]; box[0] = x - w / 2; box[1] =...

相关推荐

js_area_select.rar_area-select_area_select_area_select._js selec

23825750area-load.zip_23825750area-load_area load_area-load_load

包含内容：Wi-Fi_IEEE802.11ax_D8.0_202008.pdf + 802.11-2016.pdf

series_add_price = mean_price[:27] area_list = series_add_price.index.to_list() price_list = list(series_add_price.values)

完善代码：import math class Triangle: def __init__(self, a, b, c): self.__a = a self.__b = b self.__c = c def get_area(self): h = (self.__a+self.__b+self.__c)/2 s = math.sqrt(h*(h-self.__a)*(h-self.__b)*(h-self.__c)) print(f'三角形的面积：{s}') tri = Triangle(3, 4, 5)

def big_countries(world: pd.DataFrame) -> pd.DataFrame:

class Cylinder: def __init__(self, radius, height): self.radius = radius self.height = height self.base_area = math.pi * radius**2

SELECT * FROM wsy_o2o.weixin_cityarea_orders a LEFT JOIN taocat.bankhead b WHERE a.status = 4 and a.pay_status = 1 and a.createtime BETWEEN '2023-06-12 00:00:00' and '2023-06-12 23:59:59'; 报错

update ipccpcdr i left join asterisk.queues_info q on i.Queue = q.queue_index set i.area_id = q.area_id where i.area_id='' limit 1000 优化之后的语句

最新推荐

解决vue net :ERR_CONNECTION_REFUSED报错问题

802.1as协议-2020版本

802.1Qav-2009.pdf

INCA_ProF脚本教程总结.pdf

麦肯锡-年月―中国xx集团战略咨询项目建议书.ppt

zigbee-cluster-library-specification

管理建模和仿真的文件

实现实时数据湖架构：Kafka与Hive集成

2． 通过python绘制y=e-xsin(2πx)图像

JSBSim Reference Manual

完善代码：import math class Triangle: def init(self, a, b, c): self.a = a self.b = b self.__c = c def get_area(self): h = (self.a+self.b+self.c)/2 s = math.sqrt(h(h-self.a)(h-self.b)*(h-self.c)) print(f'三角形的面积：{s}') tri = Triangle(3, 4, 5)

class Cylinder: def init(self, radius, height): self.radius = radius self.height = height self.base_area = math.pi * radius**2

2．通过python绘制y=e-xsin(2πx)图像