class TrainPre(object): def __init__(self, img_mean, img_std): self.img_mean = img_mean self.img_std = img_std def __call__(self, img, hha): img = normalize(img, self.img_mean, self.img_std) hha = normalize(hha, self.img_mean, self.img_std) p_img = img.transpose(2, 0, 1) p_hha = hha.transpose(2, 0, 1) extra_dict = {'hha_img': p_hha} return p_img, extra_dict这段代码什么意思
时间: 2023-06-08 13:04:06 浏览: 125
这段代码是一个 Python 类,名为 TrainPre,用于对输入的图像和 HHA 图像进行预处理。在初始化时,传入均值和标准差作为参数。在调用时,将输入的图像和 HHA 图像进行归一化处理,并将它们转换为 PyTorch 可以处理的格式。然后将 HHA 图像存储在字典变量 extra_dict 中,并将处理后的图像和字典变量作为结果返回。
相关问题
class PhoneDirectory: def __init__(self): self.tel_hash = {} self.name_hash = {}如何用链表表达
在Python中,`tel_hash` 和 `name_hash` 是两个字典,用于存储电话号码(键)和对应的名字(值)。如果你想使用链表来表示这些数据结构,我们需要转换为双向链表,因为字典本质上已经是哈希表,提供了非常快的查找性能。但在链表中,插入、删除操作可能会慢一些。
首先,定义一个节点类(Node)来构建链表:
```python
class Node:
def __init__(self, tel, name=None):
self.tel = tel
self.name = name
self.prev = None
self.next = None
class LinkedListPhoneDirectory:
def __init__(self):
self.head = None
self.tail = None
# 插入方法
def insert(self, tel, name):
if not self.head:
self.head = Node(tel, name)
self.tail = self.head
else:
new_node = Node(tel, name)
self.tail.next = new_node
new_node.prev = self.tail
self.tail = new_node
# 查找方法(这里只简单地遍历链表)
def find_by_tel(self, tel):
current = self.head
while current and current.tel != tel:
current = current.next
return current
# 示例
phone_directory = LinkedListPhoneDirectory()
phone_directory.insert("123", "Alice")
```
在这个实现中,`LinkedListPhoneDirectory` 类有一个头节点 `head` 和尾节点 `tail`,分别代表链表的开始和结束。`insert` 方法用于在链表末尾添加新条目,`find_by_tel` 方法用于根据电话号码查找对应的节点。
优化代码class DeliveryRequest: def __init__(self, name, location, time): self.name = name self.location = location self.time = time class DeliveryStation: def __init__(self, location): self.location = location self.requests = [] def add_request(self, request): self.requests.append(request) def match_deliveryman(self, deliverymen): for request in self.requests: for deliveryman in deliverymen: if request.location == deliveryman.location and request.time == deliveryman.available_time: print(f"您有一个快递将送给{request.name},请您按时送货") print(f"您的快递将由{deliveryman.name}在{request.time}送达,请您按时等候") deliverymen.remove(deliveryman) break class DeliveryMan: def __init__(self, name, location, available_time): self.name = name self.location = location self.available_time = available_time class Dispatcher: def __init__(self, delivery_stations, deliverymen): self.delivery_stations = delivery_stations self.deliverymen = deliverymen def dispatch(self): for station in self.delivery_stations: station.match_deliveryman(self.deliverymen)
可以考虑优化代码的可读性和效率,例如使用列表推导式和更好的命名:
```python
class DeliveryRequest:
def __init__(self, name, location, time):
self.name = name
self.location = location
self.time = time
class DeliveryStation:
def __init__(self, location):
self.location = location
self.requests = []
def add_request(self, request):
self.requests.append(request)
def match_deliveryman(self, deliverymen):
for request in self.requests:
matching_deliverymen = [dm for dm in deliverymen if dm.location == request.location and dm.available_time == request.time]
for deliveryman in matching_deliverymen:
print(f"您有一个快递将送给{request.name},请您按时送货")
print(f"您的快递将由{deliveryman.name}在{request.time}送达,请您按时等候")
deliverymen.remove(deliveryman)
break
class DeliveryMan:
def __init__(self, name, location, available_time):
self.name = name
self.location = location
self.available_time = available_time
class Dispatcher:
def __init__(self, delivery_stations, deliverymen):
self.delivery_stations = delivery_stations
self.deliverymen = deliverymen
def dispatch(self):
for station in self.delivery_stations:
station.match_deliveryman(self.deliverymen)
```
这样,我们使用列表推导式来创建了一个匹配的快递员列表,然后使用一个 for 循环来遍历它。我们也使用更好的变量名来提高代码的可读性。
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