SolvedValueError: Found array with dim 4. TSNE expected <= 2.

Problem description Traceback (most recent call last): File “/home/visionx/nickle/temp/SimCLR/linear_evaluation.py”, line 229, in ).fit_transform(all_nodes_unnormalized_scores) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File “/home/visionx/anaconda3/envs/simclr-pt/lib/python3.11/site-packages/sklearn/utils/_set_output.py”, line 157, in wrapped data_to_wrap = f(self, X, *args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^ File “/home/visionx/anaconda3/envs/simclr-pt/lib/python3.11/site-packages/sklearn/base.py”, line 1152, in wrapper return fit_method(estimator, *args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File “/home/visionx/anaconda3/envs/simclr-pt/lib/python3.11/site-packages/sklearn/manifold/_t_sne.py”, line 1111, in fit_transform embedding = self._fit(X) ^^^^^^^^^^^^ File “/home/visionx/anaconda3/envs/simclr-pt/lib/python3.11/site-packages/sklearn/manifold/_t_sne.py”, line 841, in _fit X […]

Solved: ValueError: Error when checking input: expected input_1 to have 4 dimensions, but got array wit

Blogger Maotouhu () takes you to Go to New World? Blog Home: Maotouhu’s blog “Complete Column of Interview Questions” Articles with pictures and texts Vivid images Simple and easy to learn! Everyone is welcome to step in~ “IDEA Development Cheats Column” Learn the common operations of IDEA and double your work efficiency~ “Master Golang in […]

Solved: ValueError: logits and labels must have the same shape ((?, 10) vs (?, 1)) issue

Blogger Maotouhu () takes you to Go to New World? Blog homepage: Maotouhu’s blog “Complete Column of Interview Questions” Articles with pictures and texts Vivid images Simple and easy to learn! Everyone is welcome to step in~ “IDEA Development Cheats Column” Learn the common operations of IDEA and double your work efficiency~ “Master Golang in […]

[OpenCV’s color image segmentation technology based on HSV space reports an error: ValueError: the input array must be have a shape =]= (.., ..,[ ..,]

Article directory summary Image segmentation concept Segment blue target Split yellow target Split orange target Split green target summary Summary Whenever you see an image, it is usually made up of various elements and objects. In some cases, you may want to extract a specific object from an image. What do you do? The first […]

[Resolved] ValueError: zero-size array to reduction operation minimum which has no identity

Problem description Taking over the previous bug problem, the details are as follows: Traceback (most recent call last): File “embed.py”, line 159, in main() File “embed.py”, line 138, in main (x_wm, y_wm), defense = defense_config.embed(defense=defense, File “/home/visionx/anaconda3/envs/watermark/lib/python3.8/site-packages/mlconfig/config.py”, line 20, in __call__ return self.instantiate(*args, **kwargs) File “/home/visionx/anaconda3/envs/watermark/lib/python3.8/site-packages/mlconfig/config.py”, line 65, in instantiate return func_or_cls(*args, **kwargs) File “/home/visionx/project/Watermark-Robustness-Toolbox/wrt/defenses/watermark/adi.py”, […]

[OpenCV image implementation: Use Python to generate image special effects, error ValueError: too many values to unpack (expected 3)]

Article directory summary Read in image Change a single channel black and white special effects color inversion Split the image into four sub-parts Summary Python is a powerful programming language and one of the commonly used tools in the field of image processing. By using Python’s image processing libraries (such as Pillow, OpenCV, etc.), developers […]

YOLOv8 successfully solved ValueError: not enough values to unpack (expected 3, got 0) and `No such file or directory, etc.

yolov8 training: data structure mydata ├── Annotations ├── images ├── ImageSets ├── labels ├── all.yaml ├── text.txt ├── train.txt ├── val.txt └── labels all.yaml train: F:/YOLOV8/ultralytics-main/ultralytics/models/yolo/detect/mydata/train.txt val: F:/YOLOV8/ultralytics-main/ultralytics/models/yolo/detect/mydata/val.txt test: F:/YOLOV8/ultralytics-main/ultralytics/models/yolo/detect/mydata/test.txt # number of classes NC: 6 # class names names: [‘storage tanks’, ‘valve’, ‘person’, ‘fire’, ‘toxic substances’, ‘boat’] Label format: 0 0.10595703125 0.6002928257686677 0.1337890625 0.30453879941434847 […]

Resolving ValueError: feature_names mismatch training data did not have the following fields

Table of Contents Resolving ValueError: feature_names mismatch training data did not have the following fields Reason for error solution 1. Check feature column order 2. Rename the feature column 3. Remove feature columns that are not in the test data 4. Data preprocessing Summarize Resolve ValueError: feature_names mismatch training data did not have the following […]