Fix issue #8807 - Save Prediction Results to .csv #8967

stavros-p · 2024-03-15T11:58:54Z

The following attributes will be saved in a .csv file
- Image File Path
- ID Class
- Confidence
- x1: x coordinate of top left point of bb
- y1: y coordinate of top left point of bb
- x2: x coordinate of bottom right point of bb
- y2: y coordinate of bottom right point of bb
- width: Width of bb
- height: Height of bb

I have read the CLA Document and I hereby sign the CLA

🛠️ PR Summary

_{Made with ❤️ by Ultralytics Actions}

🌟 Summary

Enhanced detection results storage by adding CSV export functionality.

📊 Key Changes

Added import of pandas as pd for handling CSV file operations.
Introduced a new method save_detect_csv(csv_file) in results.py to save detection predictions into a CSV file.
- This method supports both bounding box and oriented bounding box formats.
- It extracts and saves details like image path, class ID, confidence scores, and coordinates (x1, y1, x2, y2) along with center (x_center, y_center), width, and height of detected objects.

🎯 Purpose & Impact

Purpose: To provide users with an easy way to export detection predictions into a widely used and accessible format (CSV), facilitating analysis and integration with other data processing tools.
Impact:
- Enhances the utility of the software by enabling better data management and sharing capabilities.
- Users can effortlessly integrate detection results into their workflows, which could range from further analysis in data science projects to integration with external systems requiring input in a tabular format.

🚀 This addition opens up new possibilities for users to work with and analyze their detection results, making the overall tool more versatile and user-friendly.

- The following attributes will be saved in a .csv file - Image File Path - ID Class - Confidence - x1: x coordinate of top left point of bb - y1: y coordinate of top left point of bb - x2: x coordinate of bottom right point of bb - y2: y coordinate of bottom right point of bb - width: Width of bb - height: Height of bb

codecov · 2024-03-15T12:01:04Z

Codecov Report

Attention: Patch coverage is 95.12195% with 2 lines in your changes are missing coverage. Please review.

Project coverage is 76.13%. Comparing base (d608565) to head (f333873).

Files	Patch %	Lines
ultralytics/engine/results.py	96.29%	1 Missing ⚠️
ultralytics/utils/ops.py	92.85%	1 Missing ⚠️

Additional details and impacted files

@@            Coverage Diff             @@
##             main    #8967      +/-   ##
==========================================
+ Coverage   75.99%   76.13%   +0.13%     
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  Lines       15332    15373      +41     
==========================================
+ Hits        11652    11704      +52     
+ Misses       3680     3669      -11

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stavros-p · 2024-03-15T12:05:44Z

Introduction

This code snippet demonstrates how to perform object detection on a list of image files using the YOLO model from the Ultralytics library.

Usage

Assuming you have a list with image file paths, you can utilize the provided code snippet as follows:

from ultralytics import YOLO
import os 

# Specify the path to the dataset containing images to be predicted
dataset_path = "folder_path\with\images\to\be\predicted"

# Generate a list of absolute image paths within the dataset directory
images_path_list = []
for dirpath, _, filenames in os.walk(dataset_path):
    for f in filenames:
        images_path_list.append(os.path.abspath(os.path.join(dirpath, f)))

# Load the YOLO model (adjust the model path as needed)
model = YOLO('yolov8n.pt')

# Perform object detection on the provided images
results = model(images_path_list)

# Save detection results as CSV files
for idx, result in enumerate(results):
    result.save_detect_csv(f"output/predictions_{idx}.csv")

glenn-jocher · 2024-03-15T12:14:59Z

@stavros-p thanks for the PR!

@Burhan-Q and myself have been thinking of introducing improved offical support for Pandas -> JSON, TXT, CSV etc. outputs, but this would need to incorporate multiple output formats and multiple tasks (i.e. detect, segment, pose, classify, obb) in order to be meaningful.

stavros-p · 2024-03-15T12:24:51Z

@glenn-jocher thanks for the comment!

Yes, initially I thought the same.

For detection results this is quite straightforward.

What do you think for the other (segment, pose, classify, obb, pose)? How and what you would like to save on JSON, TXT, CSV?

I would be more than happy to contribute on that :)

glenn-jocher · 2024-03-15T13:31:10Z

Hey @stavros-p! 😊

Great enthusiasm! For other tasks like segment, pose, classify, obb, and pose, the approach would slightly vary based on the output details each task provides. For example, segmentation might include saving mask details, pose could save keypoints, classify saves class probabilities, and so forth.

A generic format could look like this for each task:

segment: adding mask pixel values or a reference to saved mask images.
pose: keypoint coordinates and confidence scores.
classify: class IDs and their respective probabilities.
obb and regular detect: oriented bounding box coordinates or standard bounding box coordinates along with class IDs and scores.

The key is to maintain a structured and consistent format that's easy to parse. If you'd like, I can share more specific code examples for each. Your contributions are highly appreciated! Let's make YOLOv8 even better together. 🚀

Burhan-Q · 2024-03-15T22:55:09Z

@stavros-p the doc that Glenn pointed me to before is here and covers the I/O tools for pandas. I have some ideas on what we could do for the other tasks, would you be okay with me adding commits to your PR? I think the idea is that once we get the information into a DataFrame we don't have to worry about the file type any one person wants to work with, because they'll be able to use the pandas methods to save it out to the file format they want.

stavros-p · 2024-03-18T08:21:44Z

Hey @Burhan-Q . I am aware of this API :) Yes please free to add commits in this PR. I'd be more than happy to collab with you on that.

Burhan-Q · 2024-03-18T11:02:07Z

@stavros-p excellent! I will push some changes later today (it'll be a good bit different looking) and we can discuss the what and whys of what changes. I'm of course open to input/feedback if there's anything you feel should be different, so please don't hesitate to share your thoughts.

… to `save_csv()` method and now uses `to_pandas()`, valid with all tasks

Burhan-Q · 2024-03-18T14:07:09Z

@stavros-p please take a look at the changes I've added when you have the opportunity. This will be compatible with all task types and uses a pandas.MultiIndex so that it's possible to generate a single CSV file with all images + detections (looping over the results) OR single CSV files for each image (see the docstring examples). Let me know your thoughts and/or if you run into any issues with these changes/additions.

We will also need to update the documentation to reflect these updates/changes once we've ironed out all of the aspects we want to keep. Additionally, I want to update tojson() to use the contents of self.results_dict as well. This was part of the discussion I had with @glenn-jocher but I have to double check that changes won't interfere with any other processes or tests.

ultralytics/engine/results.py

… `all_conf`

ultralytics/engine/results.py

…ult from additional testing.

stavros-p · 2024-03-20T16:54:15Z

ultralytics/engine/results.py

+                            "top5": r.probs.top5 if probs else None,
+                            "top5conf": r.probs.top5conf if probs else None,
+                        }
+                        for n in range(max(len(lbl_idx or []), 1))


This portion of the code presents a potential ambiguity:

Suggested change

for n in range(max(len(lbl_idx or []), 1))

if lbl_idx is None:

length = 1

else:

length = max(len(lbl_idx), 1)

for n in range(length):

That's fair. I think I will abstain from making the call as to which version to use and let @glenn-jocher make the final call for this portion of the code (once we wrap up everything else).

Burhan-Q · 2024-03-20T19:12:29Z

@stavros-p I appreciate your input so far. 🙌 Overall what are your thoughts on how this operates? Do you feel that we should move on to updating the docs and adding tests, or did you have anything else you wished to discuss, review, or recommend?

stavros-p · 2024-03-21T17:44:03Z

@stavros-p I appreciate your input so far. 🙌 Overall what are your thoughts on how this operates? Do you feel that we should move on to updating the docs and adding tests, or did you have anything else you wished to discuss, review, or recommend?

Hey @Burhan-Q ! It's my pleasure. I made a commit few hours ago. I've tested the function for all tasks and for multiple cases and it seems to work as expected :) Let me know if you have something else to add there. If not, we could proceed on updating the docs

Burhan-Q · 2024-03-21T19:29:37Z

@stavros-p I did see that, looks like a solid middle ground choice! 😆 Glad to hear it worked for you as well 🙌

I think we're good to proceed to docs and tests. Want to divide and conquer? I can do either tests or docs, but I have less experience with writing tests. If you have no preference I'd like to get more experience writing tests and then you can tackle the docs. Let me know if that works for you, I'm open to the inverse as well 👍

…t` to avoid passing `np.float_` objects

…ults tables for attributes and methods; verified with local `mkdocs` build

Burhan-Q · 2024-03-22T23:07:28Z

@stavros-p I went ahead and did both docs and tests. This was to make it ready to go as some of the changes may be used along with other features that are in the works. Please feel free to share any input you have. I definitely would like to expand the docs some, but for now I'm going with this MVP

Burhan-Q · 2024-03-25T15:58:47Z

TODO align all keys with existing attribute names

Burhan-Q · 2024-03-25T16:38:48Z

Preview asdict() output format

{'bus.jpg': {'detections': {0: {'class': 5,
                                'conf': 0.8733859062194824,
                                'id': None,
                                'kp-conf': None,
                                'kp-xy': None,
                                'kp-xyn': None,
                                'mask-xy': None,
                                'mask-xyn': None,
                                'name': 'bus',
                                'top1': None,
                                'top1conf': None,
                                'top5': None,
                                'top5conf': None,
                                'xywh': [413.92755126953125,
                                         494.0536193847656,
                                         782.09912109375,
                                         525.5584106445312],
                                'xywhn': [0.5110216736793518,
                                          0.4574570655822754,
                                          0.9655544757843018,
                                          0.48662814497947693],
                                'xywhr': None,
                                'xyxy': [22.87796401977539,
                                         231.27442932128906,
                                         804.9771118164062,
                                         756.8328247070312],
                                'xyxyn': [0.028244400396943092,
                                          0.21414299309253693,
                                          0.9937989115715027,
                                          0.700771152973175],
                                'xyxyxyxy': None,
                                'xyxyxyxyn': None},
                            1: {'class': 0,
                                'conf': 0.8657410144805908,
                                'id': None,
                                'kp-conf': None,
                                'kp-xy': None,
                                'kp-xyn': None,
                                'mask-xy': None,
                                'mask-xyn': None,
                                'name': 'person',
                                'top1': None,
                                'top1conf': None,
                                'top5': None,
                                'top5conf': None,
                                'xywh': [146.9514923095703,
                                         650.6341552734375,
                                         196.79891967773438,
                                         504.1564636230469],
                                'xywhn': [0.18142159283161163,
                                          0.6024390459060669,
                                          0.24296163022518158,
                                          0.46681153774261475],
                                'xywhr': None,
                                'xyxy': [48.55202865600586,
                                         398.5559387207031,
                                         245.3509521484375,
                                         902.71240234375],
                                'xyxyn': [0.059940777719020844,
                                          0.3690332770347595,
                                          0.3029024004936218,
                                          0.8358448147773743],
                                'xyxyxyxy': None,
                                'xyxyxyxyn': None},
                            2: {'class': 0,
                                'conf': 0.8528025150299072,
                                'id': None,
                                'kp-conf': None,
                                'kp-xy': None,
                                'kp-xyn': None,
                                'mask-xy': None,
                                'mask-xyn': None,
                                'name': 'person',
                                'top1': None,
                                'top1conf': None,
                                'top5': None,
                                'top5conf': None,
                                'xywh': [739.5939331054688,
                                         634.6122436523438,
                                         140.2515869140625,
                                         484.8529968261719],
                                'xywhn': [0.9130789041519165,
                                          0.5876039266586304,
                                          0.17315010726451874,
                                          0.44893795251846313],
                                'xywhr': None,
                                'xyxy': [669.4681396484375,
                                         392.1857604980469,
                                         809.7197265625,
                                         877.0387573242188],
                                'xyxyn': [0.8265038728713989,
                                          0.3631349503993988,
                                          0.9996539950370789,
                                          0.8120729327201843],
                                'xyxyxyxy': None,
                                'xyxyxyxyn': None},
                            3: {'class': 0,
                                'conf': 0.8252988457679749,
                                'id': None,
                                'kp-conf': None,
                                'kp-xy': None,
                                'kp-xyn': None,
                                'mask-xy': None,
                                'mask-xyn': None,
                                'name': 'person',
                                'top1': None,
                                'top1conf': None,
                                'top5': None,
                                'top5conf': None,
                                'xywh': [283.250732421875,
                                         631.670166015625,
                                         123.45741271972656,
                                         451.74078369140625],
                                'xywhn': [0.3496922552585602,
                                          0.5848797559738159,
                                          0.15241655707359314,
                                          0.4182785153388977],
                                'xywhr': None,
                                'xyxy': [221.5220184326172,
                                         405.79974365234375,
                                         344.97943115234375,
                                         857.54052734375],
                                'xyxyn': [0.2734839618206024,
                                          0.37574049830436707,
                                          0.42590051889419556,
                                          0.7940189838409424],
                                'xyxyxyxy': None,
                                'xyxyxyxyn': None},
                            4: {'class': 0,
                                'conf': 0.2610270082950592,
                                'id': None,
                                'kp-conf': None,
                                'kp-xy': None,
                                'kp-xyn': None,
                                'mask-xy': None,
                                'mask-xyn': None,
                                'name': 'person',
                                'top1': None,
                                'top1conf': None,
                                'top5': None,
                                'top5conf': None,
                                'xywh': [31.504772186279297,
                                         711.985107421875,
                                         63.009544372558594,
                                         322.91729736328125],
                                'xywhn': [0.03889477998018265,
                                          0.0777895599603653,
                                          0.2989974915981293],
                                'xywhr': None,
                                'xyxy': [0.0,
                                         550.5264892578125,
                                         63.009544372558594,
                                         873.4437866210938],
                                'xyxyn': [0.0,
                                          0.5097467303276062,
                                          0.0777895599603653,
                                          0.8087442517280579],
                                'xyxyxyxy': None,
                                'xyxyxyxyn': None},
                            5: {'class': 11,
                                'conf': 0.25512558221817017,
                                'id': None,
                                'kp-conf': None,
                                'kp-xy': None,
                                'kp-xyn': None,
                                'mask-xy': None,
                                'mask-xyn': None,
                                'name': 'stop sign',
                                'top1': None,
                                'top1conf': None,
                                'top5': None,
                                'top5conf': None,
                                'xywh': [16.309720993041992,
                                         289.6671447753906,
                                         32.50263595581055,
                                         70.41302490234375],
                                'xywhn': [0.020135458558797836,
                                          0.2682103216648102,
                                          0.04012671113014221,
                                          0.06519724428653717],
                                'xywhr': None,
                                'xyxy': [0.058402419090270996,
                                         254.46063232421875,
                                         32.561038970947266,
                                         324.8736572265625],
                                'xyxyn': [7.210174953797832e-05,
                                          0.235611692070961,
                                          0.04019881412386894,
                                          0.30080893635749817],
                                'xyxyxyxy': None,
                                'xyxyxyxyn': None}}}}

CSV output

image	detections	name	class	conf	xyxy	xyxyn	xywh	xywhn
bus.jpg	0	bus	5	0.8733859062	[22.87796401977539, 231.27442932128906, 804.9771118164062, 756.8328247070312]	[0.028244400396943092, 0.21414299309253693, 0.9937989115715027, 0.700771152973175]	[413.92755126953125, 494.0536193847656, 782.09912109375, 525.5584106445312]	[0.5110216736793518, 0.4574570655822754, 0.9655544757843018, 0.48662814497947693]
bus.jpg	1	person	0	0.8657410145	[48.55202865600586, 398.5559387207031, 245.3509521484375, 902.71240234375]	[0.059940777719020844, 0.3690332770347595, 0.3029024004936218, 0.8358448147773743]	[146.9514923095703, 650.6341552734375, 196.79891967773438, 504.1564636230469]	[0.18142159283161163, 0.6024390459060669, 0.24296163022518158, 0.46681153774261475]
bus.jpg	2	person	0	0.852802515	[669.4681396484375, 392.1857604980469, 809.7197265625, 877.0387573242188]	[0.8265038728713989, 0.3631349503993988, 0.9996539950370789, 0.8120729327201843]	[739.5939331054688, 634.6122436523438, 140.2515869140625, 484.8529968261719]	[0.9130789041519165, 0.5876039266586304, 0.17315010726451874, 0.44893795251846313]
bus.jpg	3	person	0	0.8252988458	[221.5220184326172, 405.79974365234375, 344.97943115234375, 857.54052734375]	[0.2734839618206024, 0.37574049830436707, 0.42590051889419556, 0.7940189838409424]	[283.250732421875, 631.670166015625, 123.45741271972656, 451.74078369140625]	[0.3496922552585602, 0.5848797559738159, 0.15241655707359314, 0.4182785153388977]
bus.jpg	4	person	0	0.2610270083	[0.0, 550.5264892578125, 63.009544372558594, 873.4437866210938]	[0.0, 0.5097467303276062, 0.0777895599603653, 0.8087442517280579]	[31.504772186279297, 711.985107421875, 63.009544372558594, 322.91729736328125]	[0.03889477998018265, 0.659245491027832, 0.0777895599603653, 0.2989974915981293]
bus.jpg	5	stop sign	11	0.2551255822	[0.058402419090270996, 254.46063232421875, 32.561038970947266, 324.8736572265625]	[7.210174953797832e-05, 0.235611692070961, 0.04019881412386894, 0.30080893635749817]	[16.309720993041992, 289.6671447753906, 32.50263595581055, 70.41302490234375]	[0.020135458558797836, 0.2682103216648102, 0.04012671113014221, 0.06519724428653717]

NOTE: DataFrame format would be similar, except the image filename would not be repeated in the first column and empty columns could be dropped (if desired) using the method .dropna(axis=1) on the DataFrame

stavros-p · 2024-03-27T11:56:12Z

Hey @Burhan-Q ,

Sorry for my late response 🙏 I had to be off for some days. I saw the great work you did there both for tests and docs. Please let me know what do you think about the current status of the PR.

Burhan-Q · 2024-03-27T20:07:13Z

@stavros-p not to worry. I think the PR is in pretty good shape, but I'm seeing other changes that might supersede the changes made here. I think for the time being, we leave this in place and see if it's accepted. Otherwise I'll keep an eye open for other opportunities to include this functionality.

stavros-p and others added 2 commits March 15, 2024 12:54

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Burhan-Q added the enhancement New feature or request label Mar 15, 2024

Burhan-Q and others added 3 commits March 18, 2024 09:49

Merge branch 'main' into save-results-to-csv

e785656

Update to include asdict() method and to_pandas() method, changed…

e147444

… to `save_csv()` method and now uses `to_pandas()`, valid with all tasks

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Burhan-Q linked an issue Mar 18, 2024 that may be closed by this pull request

Request for YOLO v8 Detected class in a excel/csv #8807

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Merge branch 'main' into save-results-to-csv

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stavros-p commented Mar 20, 2024

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Burhan-Q added 2 commits March 20, 2024 09:29

add fix to issue raised by stravros-p and also for similar issue with…

254bcbb

… `all_conf`

Merge branch 'main' into save-results-to-csv

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stavros-p commented Mar 20, 2024

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Burhan-Q and others added 2 commits March 20, 2024 11:15

Addresses issue when no detections present. Other fixes made as a res…

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…ult from additional testing.

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stavros-p commented Mar 20, 2024

View reviewed changes

Fix ambiguity error

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Burhan-Q mentioned this pull request Mar 22, 2024

ultralytics 8.1.31 NCNN and CLIP updates #9235

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Burhan-Q and others added 7 commits March 22, 2024 15:28

improve checks for asdict method label and conf values, enforce `floa…

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…t` to avoid passing `np.float_` objects

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294d8ee

add tests for Results.asdict and Results.to_pandas methods

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include pytest for ultralytics.utils.ops.to_py_types

7f45728

a bit of clean up

c536af4

Merge branch 'main' into save-results-to-csv

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update docs with section on Pandas output and update Working with Res…

230f8dd

…ults tables for attributes and methods; verified with local `mkdocs` build

Burhan-Q added the TODO High priority items label Mar 22, 2024

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Merge branch 'main' into save-results-to-csv

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Merge branch 'main' into save-results-to-csv

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Merge branch 'main' into save-results-to-csv

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Burhan-Q added 4 commits March 25, 2024 12:04

correct keys to match attributes

14f10e5

update keys to match changes

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changed key from "class" to "name" and added "class" using class-idx

32c7243

include "name" key and verified all tests still functioning as expected

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Merge branch 'main' into save-results-to-csv

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Fix issue #8807 - Save Prediction Results to .csv #8967

Fix issue #8807 - Save Prediction Results to .csv #8967

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Burhan-Q commented Mar 27, 2024

-                        for n in range(max(len(lbl_idx or []), 1))
+                        if lbl_idx is None:
+                            length = 1
+                        else:
+                            length = max(len(lbl_idx), 1)
+                        for n in range(length):

Fix issue #8807 - Save Prediction Results to .csv #8967

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Fix issue #8807 - Save Prediction Results to .csv #8967

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stavros-p commented Mar 15, 2024 • edited by github-actions bot Loading

🛠️ PR Summary

🌟 Summary

📊 Key Changes

🎯 Purpose & Impact

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Introduction

Usage

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