terrain_data['slope'] = np.arctan(terrain_data['rise'] / terrain_data['run']) * 180 / np.pi

for i in range(TERRAIN_LENGTH): x = i * TERRAIN_STEP self.terrain_x.append(x) if state == GRASS and not oneshot: velocity = 0.8 * velocity + 0.01 * np.sign(TERRAIN_HEIGHT - y) if i > TERRAIN_STARTPAD: velocity += self.np_random.uniform(-1, 1) / SCALE # 1 y += velocity elif state == PIT and oneshot: counter = self.np_random.randint(3, 5) poly = [ (x, y), (x + TERRAIN_STEP, y), (x + TERRAIN_STEP, y - 4 * TERRAIN_STEP), (x, y - 4 * TERRAIN_STEP), ] self.fd_polygon.shape.vertices = poly t = self.world.CreateStaticBody(fixtures=self.fd_polygon) t.color1, t.color2 = (1, 1, 1), (0.6, 0.6, 0.6) self.terrain.append(t) self.fd_polygon.shape.vertices = [ (p[0] + TERRAIN_STEP * counter, p[1]) for p in poly ] t = self.world.CreateStaticBody(fixtures=self.fd_polygon) t.color1, t.color2 = (1, 1, 1), (0.6, 0.6, 0.6) self.terrain.append(t) counter += 2 original_y = y

- for循环遍历地形的长度（TERRAIN_LENGTH）并将每个x值添加到self.terrain_x中。 - 如果当前状态为草地（GRASS）且不是一次性的（oneshot），则根据当前高度和速度计算下一帧的高度和速度，并将新的y值添加到self....

def extract_building_shadow(image, dsm, ground_spacing, radius): shadow_mask = np.zeros_like(image, dtype=np.bool) for i in range(0, image.shape[0], ground_spacing): for j in range(0, image.shape[1], ground_spacing): if not np.any(shadow_mask[i, j]): center = (i, j) ground_height = dsm[i, j] for x, y in spiral_search(center, radius, ground_spacing): if x < 0 or x >= image.shape[0] or y < 0 or y >= image.shape[1]: continue if np.any(shadow_mask[x, y:]): continue height = dsm[x, y] if height > ground_height: shadow_mask[x, y] = True elif height == ground_height: if np.linalg.norm(np.array([x, y]) - np.array(center)) < \ np.linalg.norm(np.array([i, j]) - np.array(center)): shadow_mask[x, y] = True return shadow_mask image_path = 'C:\yingxiang\DJI_20230322140516_0026_V.JPG' image_dataset = gdal.Open(image_path) dsm_path = 'C:/sanwei/jianmo/Productions/Production_2/Production_2_DSM_part_2_2.tif' dsm_dataset = gdal.Open(dsm_path) # 读取数据 image = image_dataset.ReadAsArray() dsm = dsm_dataset.ReadAsArray() # 获取地面分辨率 ground_spacing = dsm_dataset.GetGeoTransform()[1] # 关闭数据集 image_dataset = None dsm_dataset = None # 调用函数 shadow_mask = extract_building_shadow(image, dsm, 5, 10) # 打印结果 print(shadow_mask) # 将掩膜叠加在数字表面模型上 masked_dsm = np.copy(dsm) masked_dsm[shadow_mask] = np.nan # 将遮蔽区域的高程值设为nan plt.imshow(masked_dsm, cmap='terrain') plt.show()这段代码怎么改可以让索引是两个的

如果您是想要让 extract_building_shadow 函数的输入参数变为元组 (image, dsm)，那么只需要将函数的第一行修改为 def extract_building_shadow(data, ground_spacing, radius):，然后在函数内部将 image 和...

for a in action: reward -= 0.00035 * MOTORS_TORQUE * np.clip(np.abs(a), 0, 1) # normalized to about -50.0 using heuristic, more optimal agent should spend less done = False if self.game_over or pos[0] < 0: reward = -100 done = True if pos[0] > (TERRAIN_LENGTH - TERRAIN_GRASS) * TERRAIN_STEP: done = True return np.array(state, dtype=np.float32), reward, done, {}

4. if pos[0] > (TERRAIN_LENGTH - TERRAIN_GRASS) * TERRAIN_STEP: done = True：如果小人完成了游戏目标，即到达了终点，那么将游戏结束的标志done设为True，以便结束游戏。 5. return np.array(state, dtype=np....

def _generate_terrain(self, hardcore): GRASS, STUMP, STAIRS, PIT, _STATES_ = range(5) state = GRASS velocity = 0.0 y = TERRAIN_HEIGHT counter = TERRAIN_STARTPAD oneshot = False self.terrain = [] self.terrain_x = [] self.terrain_y = []

self.terrain、self.terrain_x 和 self.terrain_y 都初始化为空列表。在生成地形的过程中，该方法会根据一定的规则，逐步生成出一个地形。具体生成规则可以根据常量中的定义来推测。最终，该方法会返回生成...

elif state == PIT and not oneshot: y = original_y if counter > 1: y -= 4 * TERRAIN_STEP elif state == STUMP and oneshot: counter = self.np_random.randint(1, 3) poly = [ (x, y), (x + counter * TERRAIN_STEP, y), (x + counter * TERRAIN_STEP, y + counter * TERRAIN_STEP), (x, y + counter * TERRAIN_STEP), ] self.fd_polygon.shape.vertices = poly t = self.world.CreateStaticBody(fixtures=self.fd_polygon) t.color1, t.color2 = (1, 1, 1), (0.6, 0.6, 0.6) self.terrain.append(t)

如果当前状态是PIT并且不是一次性的，则会将y坐标重置为原始y坐标，并向下移动4个TERRAIN_STEP的距离。如果当前状态是STUMP并且是一次性的，则会生成一个多边形，并将其添加到游戏中的地形列表中。该多边形具有四个...

elif state == STUMP and oneshot: counter = self.np_random.randint(1, 3) poly = [ (x, y), (x + counter * TERRAIN_STEP, y), (x + counter * TERRAIN_STEP, y + counter * TERRAIN_STEP), (x, y + counter * TERRAIN_STEP), ] self.fd_polygon.shape.vertices = poly t = self.world.CreateStaticBody(fixtures=self.fd_polygon) t.color1, t.color2 = (1, 1, 1), (0.6, 0.6, 0.6) self.terrain.append(t)

其中，poly列表中每个元素表示多边形中的一个顶点，其坐标为(x, y)、(x + counter * TERRAIN_STEP, y)、(x + counter * TERRAIN_STEP, y + counter * TERRAIN_STEP)和(x, y + counter * TERRAIN_STEP)。 4. 代码将...

oneshot = False self.terrain_y.append(y) counter -= 1 if counter == 0: counter = self.np_random.randint(TERRAIN_GRASS / 2, TERRAIN_GRASS) if state == GRASS and hardcore: state = self.np_random.randint(1, _STATES_) oneshot = True else: state = GRASS oneshot = True

代码通过self.np_random.randint(TERRAIN_GRASS / 2, TERRAIN_GRASS)生成一个随机的下一个障碍物的长度，将其存储在counter变量中。如果当前状态为GRASS且hardcore为True，表示需要随机生成下一个状态。代码通过...

3d_map_generator_terrain_v1.4.1.rar

今天我们要探讨的是一款名为"3d_map_generator_terrain_v1.4.1"的插件，它专用于在Photoshop中创建惊人的三维地形效果。这款插件适用于PS2017及以上版本，为设计师们提供了一种高效、直观的方式来构建逼真的地理环境...

Terrain_Navigation_Principles_Application.rar_匹配导航_匹配导航_匹配惯性导航_

地形匹配导航原理和应用，介绍了惯性导航，卡尔曼滤波器，地形匹配技术

MOTORS_TORQUE = 80 SPEED_HIP = 4 SPEED_KNEE = 6 LIDAR_RANGE = 160 / SCALE INITIAL_RANDOM = 5 HULL_POLY = [(-30, +9), (+6, +9), (+34, +1), (+34, -8), (-30, -8)] LEG_DOWN = -8 / SCALE LEG_W, LEG_H = 8 / SCALE, 34 / SCALE VIEWPORT_W = 600 VIEWPORT_H = 400 TERRAIN_STEP = 14 / SCALE TERRAIN_LENGTH = 200 # in steps TERRAIN_HEIGHT = VIEWPORT_H / SCALE / 4 TERRAIN_GRASS = 10 # low long are grass spots, in steps TERRAIN_STARTPAD = 20 # in steps FRICTION = 2.5

这段代码看起来像是一个程序的一部分，包含了一些变量的赋值和常量的定义。根据变量的命名和常量的含义，可以大致猜测这是一个模拟机器人行走的程序，其中包含了一些机器人的参数和环境的设定。...

elif state == STAIRS and not oneshot: s = stair_steps * stair_width - counter - stair_height n = s / stair_width y = original_y + (n * stair_height) * TERRAIN_STEP

这段代码用于控制楼梯状障碍的移动。在状态为STAIRS且oneshot为False时...注意，代码使用TERRAIN_STEP来进行单位转换，因为在模拟中，物理世界的坐标和像素坐标不同。这些步骤组成了一个完整的楼梯状障碍的移动过程。

rjd = revoluteJointDef( bodyA=leg, bodyB=lower, localAnchorA=(0, -LEG_H / 2), localAnchorB=(0, LEG_H / 2), enableMotor=True, enableLimit=True, maxMotorTorque=MOTORS_TORQUE, motorSpeed=1, lowerAngle=-1.6, upperAngle=-0.1, ) lower.ground_contact = False self.legs.append(lower) self.joints.append(self.world.CreateJoint(rjd)) self.drawlist = self.terrain + self.legs + [self.hull] class LidarCallback(Box2D.b2.rayCastCallback): def ReportFixture(self, fixture, point, normal, fraction): if (fixture.filterData.categoryBits & 1) == 0: return -1 self.p2 = point self.fraction = fraction return fraction self.lidar = [LidarCallback() for _ in range(10)] return self.step(np.array([0, 0, 0, 0]))[0]

这段代码是在完成机器人的创建后，将机器人的腿和脚掌之间也创建了一个旋转关节，将它们连接起来。同时，将机器人的各个部分按照一定的顺序添加到self.drawlist列表中，用于绘制机器人。另外，这里定义了一个...

Import arcpy module import arcpy # Get input feature class and output feature class input_fc = arcpy.GetParameterAsText(0) output_fc = arcpy.GetParameterAsText(1) # Get field list of input feature class fields = arcpy.ListFields(input_fc) # Create a list of field names to keep field_names = ["OID@", "SHAPE@", "SHAPE_LENGTH", "SHAPE_AREA"] # Loop through input feature class fields and add field names to field_names list for field in fields: if not (field.name in field_names): # If the field name is not in the field_names list field_names.append(field.name) # Add the field name to the field_names list # Use Make Feature Layer to create a layer from the input feature class arcpy.MakeFeatureLayer_management(input_fc, "temp_layer") # Use Add Field Delimiters to get the correct syntax for field names delimited_fields = arcpy.AddFieldDelimiters("temp_layer", field_names[0]) for i in range(1, len(field_names)): delimited_fields += "," + arcpy.AddFieldDelimiters("temp_layer", field_names[i]) # Use Copy Features to create the output feature class with only the specified fields arcpy.CopyFeatures_management("temp_layer", output_fc, delimited_fields) # Delete the temporary layer arcpy.Delete_management("temp_layer")运行错误：Traceback (most recent call last): File "D:\多对一空间连接\删除所有字段.py", line 28, in <module> File "c:\program files (x86)\arcgis\desktop10.2\arcpy\arcpy\management.py", line 2429, in CopyFeatures raise e ExecuteError: 执行失败。参数无效。 ERROR 000800: 该值不是 | DEFAULTS | TEXT_UTF16 | MAX_FILE_SIZE_4GB | MAX_FILE_SIZE_256TB | GEOMETRY_OUTOFLINE | BLOB_OUTOFLINE | GEOMETRY_AND_BLOB_OUTOFLINE | TERRAIN_DEFAULTS | MOSAICDATASET_DEFAULTS | MOSAICDATASET_INLINE 的成员。执行(CopyFeatures)失败。执行(删除所有字段)失败。请改正代码

这个错误是由于 delimited_fields 中使用了无效的参数值所引起的。你需要检查 CopyFeatures_management 的第三个参数（field_mapping）的值是否正确。在这里，你可以将 CopyFeatures_management 中的第三...

请解释这段代码：import cv2 import numpy as np # 读取图片并转换为灰度图像 img = cv2.imread("terrain.png") gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY) # 预处理图像 blur = cv2.GaussianBlur(gray, (5, 5), 0) edges = cv2.Canny(blur, 100, 200) # 查找轮廓 contours, hierarchy = cv2.findContours(edges, cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE) cv2.drawContours(img, contours, -1, (0, 0, 255), 0.3) # 展示结果 cv2.imshow("Contours", img) cv2.waitKey(0) cv2.destroyAllWindows()

这是Python代码，在程序中引入了两个模块：cv2和numpy。 cv2是OpenCV库的Python接口，可以帮助我们进行计算机视觉的开发，如图像处理、目标检测等。numpy是Python中非常常用的科学计算库，它提供了高效的数组、矩阵...

翻译一下下面这段代码using System.Collections; using System.Collections.Generic; using UnityEngine; using wvr; public class RayMain : MonoBehaviour { public WVR_DeviceType device = WVR_DeviceType.WVR_DeviceType_Controller_Right; WaveVR_SimplePointer pointer; GameMain gameMain; UIMain uiMain; public bool isScale = false; public bool select1 = false; // Use this for initialization void Start() { pointer = GetComponent<WaveVR_SimplePointer>(); gameMain = transform.parent.parent.GetComponent<GameMain>(); uiMain = GameObject.Find("Canvas").GetComponent<UIMain>(); } // Update is called once per frame void Update() { if (!pointer || !pointer.GetHitTrans()) { /////// return; } GameObject obj = pointer.GetHitTrans().gameObject; if (WaveVR_Controller.Input(device).GetPressDown(WVR_InputId.WVR_InputId_Alias1_Touchpad)) { if (obj.name == "Button0") { gameMain.DisablePanel1(); } if (obj.name == "Button1") { gameMain.DisablePanel1(); select1 = true; } if (obj.name == "Mark") { gameMain.TeleportPos(); } if (obj.name == "FenceMetal02_L") { gameMain.OpenLDoor(); } if (obj.name == "FenceMetal02_R") { gameMain.OpenRDoor(); } if (obj.name == "PositionMarker") { gameMain.TeleportPos(); } if (obj.name == "Terrain") { transform.parent.parent.position = pointer.GetHitPos() + Vector3.up * 3.14f; } if (obj.name == "Amplify") { isScale = true; } } } }

这段代码使用了System.Collections, System.Collections....如果指针指向"Terrain"，则将物体的位置移动到指针的位置再加上一个向上的偏移量。如果用户按下控制器上的"Amplify"按钮，则将isScale属性设置为true。

terrain_data['slope'] = np.arctan(terrain_data['rise'] / terrain_data['run']) * 180 / np.pi

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def _generate_terrain(self, hardcore): GRASS, STUMP, STAIRS, PIT, _STATES_ = range(5) state = GRASS velocity = 0.0 y = TERRAIN_HEIGHT counter = TERRAIN_STARTPAD oneshot = False self.terrain = [] self.terrain_x = [] self.terrain_y = []

oneshot = False self.terrain_y.append(y) counter -= 1 if counter == 0: counter = self.np_random.randint(TERRAIN_GRASS / 2, TERRAIN_GRASS) if state == GRASS and hardcore: state = self.np_random.randint(1, _STATES_) oneshot = True else: state = GRASS oneshot = True

3d_map_generator_terrain_v1.4.1.rar

Terrain_Navigation_Principles_Application.rar_匹配 导航_匹配导航_匹配惯性导航_

elif state == STAIRS and not oneshot: s = stair_steps * stair_width - counter - stair_height n = s / stair_width y = original_y + (n * stair_height) * TERRAIN_STEP

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