IP | Country | PORT | ADDED |
---|---|---|---|
50.223.246.239 | us | 80 | 49 minutes ago |
212.69.125.33 | ru | 80 | 49 minutes ago |
50.223.246.236 | us | 80 | 49 minutes ago |
85.8.68.2 | de | 80 | 49 minutes ago |
50.175.123.230 | us | 80 | 49 minutes ago |
97.74.81.253 | sg | 21557 | 49 minutes ago |
50.221.74.130 | us | 80 | 49 minutes ago |
50.168.72.113 | us | 80 | 49 minutes ago |
50.168.72.117 | us | 80 | 49 minutes ago |
67.43.228.250 | ca | 6865 | 49 minutes ago |
50.207.199.85 | us | 80 | 49 minutes ago |
50.239.72.18 | us | 80 | 49 minutes ago |
125.228.94.199 | tw | 4145 | 49 minutes ago |
88.213.214.254 | bg | 4145 | 49 minutes ago |
66.191.31.158 | us | 80 | 49 minutes ago |
50.172.39.98 | us | 80 | 49 minutes ago |
50.202.75.26 | us | 80 | 49 minutes ago |
50.168.72.118 | us | 80 | 49 minutes ago |
50.207.199.83 | us | 80 | 49 minutes ago |
50.171.122.30 | us | 80 | 49 minutes ago |
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In Swift, you can use the Codable protocol to parse JSON data into Swift objects. Here's a basic example:
Assuming you have the following JSON data:
{
"name": "John Doe",
"age": 30,
"city": "New York"
}
And you want to create a Swift struct to represent this data:
import Foundation
// Define a struct conforming to Codable
struct Person: Codable {
let name: String
let age: Int
let city: String
}
// JSON data
let jsonData = """
{
"name": "John Doe",
"age": 30,
"city": "New York"
}
""".data(using: .utf8)!
// Use JSONDecoder to decode JSON data into a Person object
do {
let person = try JSONDecoder().decode(Person.self, from: jsonData)
print("Name: \(person.name)")
print("Age: \(person.age)")
print("City: \(person.city)")
} catch {
print("Error decoding JSON: \(error)")
}
In this example:
Person
struct that conforms to the Codable
protocol. The struct's properties match the keys in the JSON data.Data
using data(using:)
.JSONDecoder
to decode the JSON data into an instance of the Person
struct.Ensure that the keys in your Swift struct match the keys in your JSON data, and the data types match accordingly. The JSONDecoder
automatically maps the JSON data to the struct based on the property names.
This example assumes a simple JSON structure. If your JSON structure is more complex, you may need to define additional structs conforming to Codable
to represent nested structures.
Note: If your JSON data comes from a URL, you can also use URLSession
to fetch the data.
UDP (User Datagram Protocol) is a transport layer protocol that provides a simple and fast way to send data over a network. Unlike TCP, UDP does not establish a connection between the sender and receiver before sending data. Instead, UDP uses a connectionless communication model, where each datagram (data packet) is sent independently.
Here's how UDP works:
1. The sender application prepares the data to be sent and wraps it in a UDP datagram. This datagram contains the data, the source IP address, the destination IP address, and a checksum for error detection.
2. The sender application sends the UDP datagram to the network layer, which then forwards it to the appropriate network interface for transmission.
3. The datagram is transmitted over the network as a single, self-contained packet. There is no guarantee that the datagram will reach its destination, as UDP does not provide any error correction or retransmission mechanisms.
4. The receiving application listens for incoming UDP datagrams on a specific port. When a datagram arrives, the network layer forwards it to the appropriate application.
5. The receiving application processes the datagram, extracts the data, and handles any errors detected by the checksum.
It's important to note that UDP does not establish a connection between the sender and receiver. This means that there is no handshake or acknowledgment of receipt, and the sender does not know if the datagram was successfully delivered. UDP is often used for applications that prioritize speed over reliability, such as video streaming, online gaming, and VoIP (Voice over Internet Protocol).
The maximum size of an RTP (Real-time Transport Protocol) packet when transmitted over TCP/UDP protocol depends on the payload size and the addition of RTP header information.
RTP is a transport protocol specifically designed for real-time applications like audio and video streaming. It is typically used in conjunction with UDP or TCP, as it does not provide its own transport layer.
RTP packets consist of two parts:
1. Payload: This is the actual data being transmitted, which can be audio, video, or other real-time data. The payload size is determined by the application or codec being used.
2. Header: The RTP header contains metadata required for the proper processing and synchronization of the payload. The header has a fixed size of 12 bytes. The maximum size of an RTP packet can be calculated by adding the payload size and the fixed header size:
Maximum RTP packet size = Payload size + 12 bytes (RTP header)
The payload size depends on the application or codec being used. For example, if you're using an audio codec that generates 100-byte audio frames, the maximum RTP packet size would be:
Maximum RTP packet size = 100 bytes (payload) + 12 bytes (RTP header) = 112 bytes
In the case of video codecs, the payload size can be significantly larger, depending on the video resolution, compression, and frame rate.
When RTP is used over TCP or UDP, the maximum size of the RTP packet is limited by the maximum payload size supported by the underlying transport protocol. For TCP, the maximum segment size (MSS) is determined by the MTU (Maximum Transmission Unit) of the network and the TCP header size. For UDP, the maximum packet size is limited by the MTU of the network and the UDP header size.
In summary, the maximum size of an RTP packet when transmitted over TCP/UDP protocol depends on the payload size and the addition of RTP header information, as well as the underlying transport protocol's limitations.
To read a video stream received via UDP, you can follow these steps:
1. Choose a programming language: Python, C++, Java, or any other language that supports UDP communication.
2. Set up a UDP server: Create a UDP server that listens for incoming video stream data. This server will receive the video stream packets and store them in memory or on disk.
3. Parse the UDP packets: The video stream data will be sent in a series of UDP packets. You will need to parse these packets to extract the video frames and reassemble them into a complete video stream.
4. Decode the video frames: Once you have the video frames, you need to decode them to convert them from their compressed format (e.g., H.264, MPEG-4) to a raw video format that can be displayed.
5. Display or save the video stream: After decoding the video frames, you can either display them in real-time or save them to a file for later playback.
Here's an example of how you might implement this in Python using the socket and cv2 libraries:
import socket
import cv2
import struct
# Create a UDP server socket
server_socket = socket.socket(socket.AF_INET, socket.SOCK_DGRAM)
server_socket.bind(('0.0.0.0', 12345))
# Variables to store the video stream
frame_length = 0
frame_data = b''
# Loop to receive video stream packets
while True:
data, address = server_socket.recvfrom(1024)
frame_length += struct.unpack('I', data[:4])[0]
frame_data += data[4:]
# Check if we have enough data for a complete frame
if frame_length > 0 and len(frame_data) >= frame_length:
# Extract the video frame
frame = cv2.imdecode(np.frombuffer(frame_data[:frame_length], dtype=np.uint8), cv2.IMREAD_COLOR)
# Display or save the video frame
cv2.imshow('Video Stream', frame)
cv2.waitKey(1)
# Reset variables for the next frame
frame_length = 0
frame_data = b''
Note that this is a simplified example and assumes that the video stream is using a specific protocol for packetization and framing. In practice, you will need to adapt this code to the specific format of the video stream you are receiving. Additionally, you may need to handle network errors, packet loss, and other issues that can arise during UDP communication.
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