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India is a southwest expansion of the Asian continent. The trans-Indian ocean paths which connect the European countries in the west and east Asian countries allow an approach to the central location of India. The Deccan Plateau extends into the Indian Ocean, thereby helping India to set up close connections with west Asia, Africa, and Europe from the western coast and east Asia and southeast from the eastern coast. It can connect through marine passages with Australia.
Significance of the central location of India at the head of the Indian Ocean
Coastline
India has a wide coastline of 7516 km. The wide coastline and the natural harbors help India in performing trade and commerce operations with its neighboring and also distant countries from ancient times. The Indian Ocean is the third largest ocean following the Pacific and Atlantic Oceans. Only India has such a vast coastline on the Indian ocean, no other country has such a broad coastline. It is India’s renowned place in the Indian Ocean that has been given the name of an ocean after it.
Ports
Because of such a broad coastline, India has...
1/5
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Answered Apr 11, 2023 · 0 votes
@saipavan welcome to the stack-overflow.
What you have is a "normal" list and not a linked-list.
How they are different:
"Normal" list has a items stored in consecutive memory blocks. You can imagine values one after another. This allows you getting n-th element in array very simply. The drawback to the "normal" list is that if you would like to insert element in the middle of the list, you need to move all the elements one slot "down".
The Linked-list contains head of the list (the first element), and inside this element is stored value + index (address) of a memory block of the next element. In next element you found value + index of a memory block and so on... It is "harder" to get to a n-th element, (because you need to actually walk the path to a n-th element), but insertion in very easy - just change the value of an memory index. Another benefit is, that you don't need consecutive block of memory. This array could be scattered across the memory (RAM) because you always has an address to a next element.
Why should I care?
Well, in "normal" programming you probably shouldn't. In normal size arrays, when the performance doesn't need to be perfect you could always use "normal" array. In reality in most cases this is enough.
If you want to get the answer to a task:
Firs of all you need to create this class Linked-List.
Linked list is constructed by elements of an list (containing value + address to next element) and a list, that holds head (beginning of the array)
# This is a class for elementsclass Element:- # This is init method to create element. You create it with value def __init__(self, value=None): # copy value to object self.value = value # for now address of next element is None self.nextElement = None-# This is class that will hold Linked Listclass LinkedList: # Init empty list -> this mean that it doesn't have first element yet def __init__(self): self.head = None-# Init the Linked listlist = LinkedList()# add first element to a listlist.head = Element(7)# Add new element and save it to a nextElement propertylist.head.nextElement = Element(9)# And add next...list.head.nextElement.nextElement = Element(6)#....-
I left the step by step code so you can understand and get the fill for it. But You can see that this is not very nice...
Ok we could add method add value to a list
# This is class that will hold Linked Listclass LinkedList: # Init empty list -> this mean that it doesn't have first element yet def __init__(self): self.head = None # Store the last value self.tail = None- def addValue(self, value): # create new element new_element = Element(value) # if there is no head, this is first element (and last) if not self.head: self.head = new_element else: # if this is not first element add it as next element to a tail self.tail.nextElement = new_element # move a tail self.tail = Element(value)-
Ok so now we know how to create list
# Init the Linked listlist = LinkedList()list.addValue(9)list.addValue(7)list.addValue(6)...-
To get the 5-th element form beginning you could do:
a = list.head.nextElement.nextElement.nextElement.nextElement-
And get the 5-th element from end you could extend the code:
# This is a class for elementsclass Element:- # This is init method to create element. You create it with value def __init__(self, value=None): # copy value to object self.value = value # for now address of next element is None self.nextElement = None self.previousElement = None----# This is class that will hold Linked Listclass LinkedList: # Init empty list -> this mean that it doesn't have first element yet def __init__(self): self.head = None # Store the last value self.tail = None- def addValue(self, value): # create new element new_element = Element(value) # if there is no head, this is first element (and last) if not self.head: self.head = new_element else: # if this is not first element add it as next element to a tail new_element.previousElement = self.tail self.tail.nextElement = new_element # move a tail self.tail = Element(value)-
and then
b = list.tail.previousElement.previousElement.previousElement.previousElement-
To swap those elements you need to change the reference indexes
b_previous = b.previousElementb_next = b.nextValueb.previousElement = a.previousElementb.nextValue = a.nextValuea.previousElement = b_previousa.nextValue = b_next-
Ok This should be it...
Ok the code for getting the n-th element is ugly and the swap as well... Try to add 3 more functions to a LinkedList object to do it nicer.
2/5
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Answered Jan 18, 2024 · 2 votes
How to get the keypoints coordinates in yolo_pose?
Using yolov8*-pose.pt model for object tracking task we can obtain keypoint coordinates just like this:
results = model.track(frame)keypoints_in_pixel = results[0].keypoints.xykeypoints_normalized = results[0].keypoints.xyn
In the extract_and_process_tracks() method it will look the same:
def extract_and_process_tracks(self, tracks): boxes = tracks[0].boxes.xyxy.cpu() clss = tracks[0].boxes.cls.cpu().tolist() track_ids = tracks[0].boxes.id.int().cpu().tolist() keypoints_in_pixel = tracks[0].keypoints.xy.cpu().tolist() # the rest of method logic
len(keypoints_in_pixel) now equals the number of detected objects in a frame. Using indexing, keypoints_in_pixel[0] will return a keypoints xy pairs list for the first detected object:
[[411.5274353027344, 182.98947143554688], [0.0, 0.0], [394.4708251953125, 170.76046752929688], [0.0, 0.0], [339.785400390625, 193.0745086669922], [0.0, 0.0], [333.6002197265625, 280.1023864746094], [0.0, 0.0], [432.16461181640625, 288.9073181152344], [0.0, 0.0], [468.3426513671875, 189.08206176757812], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0]]
To get a particular keypoint xy coordinates pair we just need to index further:
xy_0 = keypoints_in_pixel[0][0]# [411.5274353027344, 182.98947143554688]-
More information about how to work with the pose estimation keypoints results and object tracking task in YOLOv8.
3/5
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Answered May 23, 2017 · 0 votes
Basically, you are confused between reference type and instance (object) type.
In your program, o is the reference variable with type Object, so o will be able to access only the methods and variables from Object class. Also, t is the reference variable with type test2, so t can access class members of test2. You can look here for more details.
In short, reference type decides which members of the class you can access.
Also, look at the below popular classes for Inheritance to understand the above concept:
public class Animal { public String foodtype; //other members}public class Dog extends Animal { public String name; //other members}public class Test { public static void main(String[] args) { Animal a = new Dog();//'a' can access Anmial class members only a.foodtype = "meat"; //ok a.name = "puppy"; //compiler error Dog d = new Dog();//'d' can access both Animal and Dog class members d.foodtype = "meat"; //ok d.name = "puppy";//ok }}
4/5
Top Answer
Answered Apr 26, 2014 · 0 votes
Solved: it was a connection pool issue. Creating a driver one in glassfish admin panel I've got no more problems.
Other Answers
Answered Apr 24, 2016 · 13 votes
Apologies for being straightforward, but I believe that on this specific situation, you are all wrong. What should be done is:
Add the following properties by clicking every time on the button Add Property (After selecting the pool name and editing it):
- ["Go to your Glassfish server administration panel (Link should look like this: http://localhost:4848/common/index.jsf (Under Additional Properties tab)",""," ","Click on Services in Netbeans","Click on Server","Right-click on your server name [A pop-up contextual menu appears]","Click on View Domain Admin Console [Note: Your server must be running in order to see that feature. A browser tab is automatically launched, if the server is running. You know that your server is running if you see a greenish arrow pointing to the right on the right of the server instance]"," ",""]
Set up your JDBC Resources [jdbc/your_pool_name]
- ["Add the following properties by clicking every time on the button Add Property (After selecting the pool name and editing it):",""," ","driverClass: com.mysql.jdbc.Driver","URL : jdbc:mysql://localhost/your_database_name","password : your_password to the database management system","serverName : localhost or your_server_name","user : root or your_username to access the database management system","databaseName : your_database_name"," ",""]
- ["Set up your JDBC Resources [jdbc/your_pool_name]",""]
Save everything (The button usually is on the upper-right corner of your Internet browser) Don't forget that the JDBC Resources is always connected to a connection pool. So ensure that it is the case for you. They, JDBC Connection Pools and JDBC Resources, are usually located under JDBC in the left pane menu of your server administration panel. Go back to whatever you were doing, and try again. Please also note that this works for MySQL Database Management Systems. You might need to change the driver class as well as the URL if using another DBMS. You may find additional information on YouTube [http://www.youtube.com/].
I believe this is the answer.
Other Answers
Answered Mar 05, 2015 · 2 votes
For me the issue was that I had added a new JDBC driver JAR file to Glassfish, but I hadn't added it to NetBeans.
The first step is to copy your JAR file to NetBean's EXT folder. For me, that folder is: "C:\Program Files\NetBeans 8.0.1\ide\modules\ext"
Next, we need to add the JDBC driver as described below:
- In NetBeans, select Window > Services menu option which adds the Services tab to the explorer panel.
- Expand the "Database" tree node
- Right click on the "Drivers" tree node and select "New Driver..."
- In the "New JDBC Driver" window press "Add..." which opens a dialog that says "Select Driver".
- Navigate to the EXT folder where you copied your JAR file and select the JAR file.
- Press OK.
- The new driver will be added to the list.
When I attempted to create an "Entity class from database", I still ran into issues when I selected my connection. After trying various things what worked for me was to:
- Open the Database tree node again and delete each of the database connections.
- Return to the Projects tabs and go through the steps to create an "Entity class from database".
- When the dialog appears, in the drop down select "New Data Source".
- Select the driver and then enter the information for your database.
- After recreating the connection I was able to create the Entity class from the selected database table.
Good luck!
5/5
www.nature.com › articles › s41598/024/60897-8Multi-scale coupled attention for visual object detection
www.nature.com › articles › s41598/024/60897-8May 16, 2024 · In YOLO v6, both the backbone and the neck have been newly designed, and the decoupled head in YOLOX 45 has been inherited with minor modifications. Besides, there are also improvements to the ...
www.geeksforgeeks.org › yolov3-from-scratch-usingYOLOv3 From Scratch Using PyTorch - GeeksforGeeks
www.geeksforgeeks.org › yolov3-from-scratch-using3 days ago · YOLOv3 From Scratch Using PyTorch - GeeksforGeeks. Last Updated : 09 Jun, 2023. This article discusses about YOLO (v3), and how it differs from the original YOLO and also covers the implementation of the YOLO (v3) object detector in Python using the PyTorch library.
www.reddit.com › r › AfricaHow is the life of normal people in Africa? : r/Africa - Reddit
www.reddit.com › r › AfricaI am really curious to know about the life of average people in Africa. I was searching about this on YouTube and found that most of the videos show people living in mud houses in rural areas, often depicting tribal or traditional lifestyles.
People also ask
What's new in Yolo V3?
- Furthermore, in 2018, J. Redmon and A. Farhadi released YOLO (v3), which further improved object detection accuracy and speed. YOLO (v3) introduced a new backbone architecture, called Darknet-53, which improved feature extraction and added additional anchor boxes to better detect objects at different scales.
YOLOv3 From Scratch Using PyTorch - GeeksforGeeks
www.geeksforgeeks.org/yolov3-from-scratch-using-pytorch/What is Yolo V3 29?
- Technically, it is a dense target detection network developed on multi-scale feature pyramid. Focal-loss weighted cross entropy function is introduced to suppress the loss from the negative samples. YOLO series. Here the four versions of YOLO v3 29, YOLO v5 31, YOLO v7 33, and YOLOX 45 are employed to compare with our model.
Multi-scale coupled attention for visual object detection
www.nature.com/articles/s41598-024-60897-8What is OpenCV Yolo?
- You'll find career guides, tech tutorials and industry news to keep yourself updated with the fast-changing world of tech and business. Object Detection Using OpenCV YOLO: YOLO which stands for “You only look once” is a single shot detection algorithm which was introduced by Joseph Redmon in May 2016.
Object Detection Using OpenCV YOLO | Great Learning
www.mygreatlearning.com/blog/yolo-object-detection-using-opencv/What is yolov8?
- It is also a plug-and-play module that can quickly apply other natural image object detection methods to remote sensing images. We used YOLOv8 as the baseline model and redesigned it. Including embedding the trans-attention module, adding a small object detection head, and optimizing the same-level feature fusion method.
TA-YOLO: a lightweight small object detection model based on multi
link.springer.com/article/10.1007/s40747-024-01448-6link.springer.com › article › 10TA-YOLO: a lightweight small object detection ... - Springer
link.springer.com › article › 10May 8, 2024 · In order to ensure a fair evaluation, all comparative and ablation experiments exclude the use of pre-trained weights during training. Four crucial parameters underpin our TA-YOLO architecture: h, m, n, and w. Here, h represents the heads in the multi-head mechanism, with distinct values 1, 2, 4, 8 considered at each P2, P3, P4, P5 level.
www.mygreatlearning.com › blog › yolo-objectObject Detection Using OpenCV YOLO | Great Learning
www.mygreatlearning.com › blog › yolo-objectApr 30, 2024 · By Great Learning Team Updated on Apr 30, 2024 35622. Table of contents. What is object detection? How does object detection work? What is YOLO object detection? Overview of YOLO object detection algorithm. Non-Maximum Suppression. Implementation of YOLO with OpenCV. Custom Object detection with YOLO. What is Object Detection?
stackoverflow.com › questions › 78505608python - How to train YOLO to detect only one Class object ...
stackoverflow.com › questions › 785056084 days ago · Asked today. Modified today. Viewed 3 times. 0. I want to train the YOLO algorithm to detect a custom text script (Amazigh) in images. My pb is when i try to test my trained model. the model detect other classes in the test images like persons, clocks, ... But does not detect my custom text script. So this is the code i used :
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