The full dataset viewer is not available (click to read why). Only showing a preview of the rows.
The dataset generation failed because of a cast error
Error code: DatasetGenerationCastError
Exception: DatasetGenerationCastError
Message: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 384 new columns ({'5', '180', '231', '229', '58', '257', '178', '193', '118', '22', '11', '146', '110', '91', '177', '207', '267', '27', '167', '315', '92', '377', '176', '142', '97', '51', '59', '181', '329', '220', '102', '4', '317', '79', '37', '264', '17', '154', '252', '200', '185', '271', '138', '174', '78', '61', '96', '250', '255', '26', '328', '242', '208', '324', '239', '14', '341', '196', '312', '284', '244', '63', '120', '372', '112', '49', '249', '144', '232', '332', '199', '33', '282', '103', '50', '289', '216', '19', '55', '25', '253', '294', '16', '85', '190', '179', '285', '135', '346', '225', '173', '2', '254', '56', '111', '327', '352', '308', '113', '256', '201', '90', '34', '306', '355', '127', '298', '265', '62', '82', '275', '161', '162', '319', '381', '9', '87', '261', '76', '356', '3', '182', '311', '351', '160', '345', '236', '336', '295', '172', '145', '269', '274', '313', '88', '334', '245', '143', '357', '45', '101', '374', '12', '296', '301', '149', '286', '53', '98', '184', '159', '266', '202', '169', '44', '359', '21', '247', '342', '354', '277', '211', '218', '8', '268', '132', '166', '203', '209', '153', '93', '163', '170', '32', '194', '41', '54', '258', '137', '18', '371', '376', '43', '84', '155', '70', '230', '321', '353', '362', '126', '210', '224', '318', '293', '240', '316', '343', '136', '279', '197', '0', '367', '339', '259', '303', '288', '333', '175', '128', '95', '363', '29', '148', '348', '74', '164', '215', '379', '262', '365', '305', '105', '68', '235', '28', '39', '109', '65', '134', '310', '123', '125', '69', '67', '272', '116', '20', '133', '129', '322', '152', '42', '338', '140', '297', '122', '214', '141', '66', '75', '360', '6', '320', '89', '238', '57', '64', '147', '382', '226', '370', '378', '188', '287', '281', '187', '278', '23', '52', '108', '198', '15', '350', '302', '30', '46', '195', '48', '150', '213', '366', '290', '99', '291', '251', '24', '222', '233', '337', '165', '280', '323', '36', '263', '330', '270', '1', '292', '80', '234', '307', '309', '347', '246', '192', '228', '13', '7', '158', '94', '77', '380', '73', '191', '373', '86', '273', '117', '139', '168', '369', '204', '276', '60', '304', '100', '83', '115', '223', '227', '212', '106', '237', '35', '248', '206', '156', '325', '107', '205', '326', '189', '358', '340', '38', '10', '157', '383', '314', '243', '183', '47', '131', '130', '217', '300', '31', '121', '335', '375', '361', '331', '364', '114', '299', '81', '241', '104', '344', '219', '260', '283', '186', '72', '40', '221', '171', '124', '71', '349', '151', '119', '368'}) and 2 missing columns ({'title', 'url'}).
This happened while the csv dataset builder was generating data using
hf://datasets/pyimagesearch/blog-title/embeddings.csv (at revision 0c80627d76b9c385d7cd38c7cb5fb9304d368da8)
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Traceback: Traceback (most recent call last):
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 2011, in _prepare_split_single
writer.write_table(table)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 585, in write_table
pa_table = table_cast(pa_table, self._schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2302, in table_cast
return cast_table_to_schema(table, schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2256, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
0: double
1: double
2: double
3: double
4: double
5: double
6: double
7: double
8: double
9: double
10: double
11: double
12: double
13: double
14: double
15: double
16: double
17: double
18: double
19: double
20: double
21: double
22: double
23: double
24: double
25: double
26: double
27: double
28: double
29: double
30: double
31: double
32: double
33: double
34: double
35: double
36: double
37: double
38: double
39: double
40: double
41: double
42: double
43: double
44: double
45: double
46: double
47: double
48: double
49: double
50: double
51: double
52: double
53: double
54: double
55: double
56: double
57: double
58: double
59: double
60: double
61: double
62: double
63: double
64: double
65: double
66: double
67: double
68: double
69: double
70: double
71: double
72: double
73: double
74: double
75: double
76: double
77: double
78: double
79: double
80: double
81: double
82: double
83: double
84: double
85: double
86: double
87: double
88: double
89: double
90: double
91: double
92: double
93: double
94: double
95: double
96: double
97: double
98: double
99: double
100: double
101: double
102: double
103: double
104: double
105: double
106: double
107: double
108: double
109: double
110: double
111: double
112: double
113: double
114: double
115: double
116: double
117: double
118: double
119: double
120: double
121: double
122: double
123: double
124: double
125: double
126: double
127: double
128: double
129: double
130: double
131: double
132: double
133: double
13
...
ble
268: double
269: double
270: double
271: double
272: double
273: double
274: double
275: double
276: double
277: double
278: double
279: double
280: double
281: double
282: double
283: double
284: double
285: double
286: double
287: double
288: double
289: double
290: double
291: double
292: double
293: double
294: double
295: double
296: double
297: double
298: double
299: double
300: double
301: double
302: double
303: double
304: double
305: double
306: double
307: double
308: double
309: double
310: double
311: double
312: double
313: double
314: double
315: double
316: double
317: double
318: double
319: double
320: double
321: double
322: double
323: double
324: double
325: double
326: double
327: double
328: double
329: double
330: double
331: double
332: double
333: double
334: double
335: double
336: double
337: double
338: double
339: double
340: double
341: double
342: double
343: double
344: double
345: double
346: double
347: double
348: double
349: double
350: double
351: double
352: double
353: double
354: double
355: double
356: double
357: double
358: double
359: double
360: double
361: double
362: double
363: double
364: double
365: double
366: double
367: double
368: double
369: double
370: double
371: double
372: double
373: double
374: double
375: double
376: double
377: double
378: double
379: double
380: double
381: double
382: double
383: double
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 41129
to
{'url': Value(dtype='string', id=None), 'title': Value(dtype='string', id=None)}
because column names don't match
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1321, in compute_config_parquet_and_info_response
parquet_operations = convert_to_parquet(builder)
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 935, in convert_to_parquet
builder.download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1027, in download_and_prepare
self._download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1122, in _download_and_prepare
self._prepare_split(split_generator, **prepare_split_kwargs)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1882, in _prepare_split
for job_id, done, content in self._prepare_split_single(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 2013, in _prepare_split_single
raise DatasetGenerationCastError.from_cast_error(
datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 384 new columns ({'5', '180', '231', '229', '58', '257', '178', '193', '118', '22', '11', '146', '110', '91', '177', '207', '267', '27', '167', '315', '92', '377', '176', '142', '97', '51', '59', '181', '329', '220', '102', '4', '317', '79', '37', '264', '17', '154', '252', '200', '185', '271', '138', '174', '78', '61', '96', '250', '255', '26', '328', '242', '208', '324', '239', '14', '341', '196', '312', '284', '244', '63', '120', '372', '112', '49', '249', '144', '232', '332', '199', '33', '282', '103', '50', '289', '216', '19', '55', '25', '253', '294', '16', '85', '190', '179', '285', '135', '346', '225', '173', '2', '254', '56', '111', '327', '352', '308', '113', '256', '201', '90', '34', '306', '355', '127', '298', '265', '62', '82', '275', '161', '162', '319', '381', '9', '87', '261', '76', '356', '3', '182', '311', '351', '160', '345', '236', '336', '295', '172', '145', '269', '274', '313', '88', '334', '245', '143', '357', '45', '101', '374', '12', '296', '301', '149', '286', '53', '98', '184', '159', '266', '202', '169', '44', '359', '21', '247', '342', '354', '277', '211', '218', '8', '268', '132', '166', '203', '209', '153', '93', '163', '170', '32', '194', '41', '54', '258', '137', '18', '371', '376', '43', '84', '155', '70', '230', '321', '353', '362', '126', '210', '224', '318', '293', '240', '316', '343', '136', '279', '197', '0', '367', '339', '259', '303', '288', '333', '175', '128', '95', '363', '29', '148', '348', '74', '164', '215', '379', '262', '365', '305', '105', '68', '235', '28', '39', '109', '65', '134', '310', '123', '125', '69', '67', '272', '116', '20', '133', '129', '322', '152', '42', '338', '140', '297', '122', '214', '141', '66', '75', '360', '6', '320', '89', '238', '57', '64', '147', '382', '226', '370', '378', '188', '287', '281', '187', '278', '23', '52', '108', '198', '15', '350', '302', '30', '46', '195', '48', '150', '213', '366', '290', '99', '291', '251', '24', '222', '233', '337', '165', '280', '323', '36', '263', '330', '270', '1', '292', '80', '234', '307', '309', '347', '246', '192', '228', '13', '7', '158', '94', '77', '380', '73', '191', '373', '86', '273', '117', '139', '168', '369', '204', '276', '60', '304', '100', '83', '115', '223', '227', '212', '106', '237', '35', '248', '206', '156', '325', '107', '205', '326', '189', '358', '340', '38', '10', '157', '383', '314', '243', '183', '47', '131', '130', '217', '300', '31', '121', '335', '375', '361', '331', '364', '114', '299', '81', '241', '104', '344', '219', '260', '283', '186', '72', '40', '221', '171', '124', '71', '349', '151', '119', '368'}) and 2 missing columns ({'title', 'url'}).
This happened while the csv dataset builder was generating data using
hf://datasets/pyimagesearch/blog-title/embeddings.csv (at revision 0c80627d76b9c385d7cd38c7cb5fb9304d368da8)
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
url
string | title
string |
|---|---|
https://pyimagesearch.com/2017/09/25/configuring-ubuntu-for-deep-learning-with-python/ | Configuring Ubuntu for deep learning with Python |
https://pyimagesearch.com/2017/09/23/getting-started-deep-learning-computer-vision-python/ | Getting started with Deep Learning for Computer Vision with Python |
https://pyimagesearch.com/2016/11/21/raspbian-opencv-pre-configured-and-pre-installed/ | Raspbian + OpenCV pre-configured and pre-installed. |
https://pyimagesearch.com/2015/02/04/train-custom-image-classifiers-object-detectors-object-trackers/ | Train your own custom image classifiers, object detectors, and object trackers. |
https://pyimagesearch.com/2014/06/26/announcing-case-studies-solving-real-world-problems-computer-vision/ | Announcing "Case Studies: Solving real world problems with computer vision" |
https://pyimagesearch.com/2021/02/01/opencv-histogram-equalization-and-adaptive-histogram-equalization-clahe/ | OpenCV Histogram Equalization and Adaptive Histogram Equalization (CLAHE) |
https://pyimagesearch.com/2021/02/03/opencv-image-translation/ | OpenCV Image Translation |
https://pyimagesearch.com/2021/02/22/opencv-connected-component-labeling-and-analysis/ | OpenCV Connected Component Labeling and Analysis |
https://pyimagesearch.com/2021/03/08/defending-against-adversarial-image-attacks-with-keras-and-tensorflow/ | Defending against adversarial image attacks with Keras and TensorFlow |
https://pyimagesearch.com/2021/03/15/mixing-normal-images-and-adversarial-images-when-training-cnns/ | Mixing normal images and adversarial images when training CNNs |
https://pyimagesearch.com/2021/03/22/opencv-template-matching-cv2-matchtemplate/ | OpenCV Template Matching ( cv2.matchTemplate ) |
https://pyimagesearch.com/2021/04/05/opencv-face-detection-with-haar-cascades/ | OpenCV Face detection with Haar cascades |
https://pyimagesearch.com/2021/04/12/opencv-haar-cascades/ | OpenCV Haar Cascades |
https://pyimagesearch.com/2020/12/07/comparing-images-for-similarity-using-siamese-networks-keras-and-tensorflow/ | Comparing images for similarity using siamese networks, Keras, and TensorFlow |
https://pyimagesearch.com/2020/12/21/detecting-aruco-markers-with-opencv-and-python/ | Detecting ArUco markers with OpenCV and Python |
https://pyimagesearch.com/2020/12/28/determining-aruco-marker-type-with-opencv-and-python/ | Determining ArUco marker type with OpenCV and Python |
https://pyimagesearch.com/2021/01/04/opencv-augmented-reality-ar/ | OpenCV Augmented Reality (AR) |
https://pyimagesearch.com/2021/01/11/opencv-video-augmented-reality/ | OpenCV Video Augmented Reality |
https://pyimagesearch.com/2021/01/18/contrastive-loss-for-siamese-networks-with-keras-and-tensorflow/ | Contrastive Loss for Siamese Networks with Keras and TensorFlow |
https://pyimagesearch.com/2021/01/19/crop-image-with-opencv/ | Crop Image with OpenCV |
https://pyimagesearch.com/2021/01/19/image-arithmetic-opencv/ | Image Arithmetic OpenCV |
https://pyimagesearch.com/2021/01/19/opencv-bitwise-and-or-xor-and-not/ | OpenCV Bitwise AND, OR, XOR, and NOT |
https://pyimagesearch.com/2021/01/20/opencv-getting-and-setting-pixels/ | OpenCV Getting and Setting Pixels |
https://pyimagesearch.com/2021/01/20/opencv-flip-image-cv2-flip/ | OpenCV Flip Image ( cv2.flip ) |
https://pyimagesearch.com/2021/01/23/splitting-and-merging-channels-with-opencv/ | Splitting and Merging Channels with OpenCV |
https://pyimagesearch.com/2021/01/25/detecting-low-contrast-images-with-opencv-scikit-image-and-python/ | Detecting low contrast images with OpenCV, scikit-image, and Python |
https://pyimagesearch.com/2021/01/27/drawing-with-opencv/ | Drawing with OpenCV |
https://pyimagesearch.com/2020/08/17/ocr-with-keras-tensorflow-and-deep-learning/ | OCR with Keras, TensorFlow, and Deep Learning |
https://pyimagesearch.com/2020/09/28/image-segmentation-with-mask-r-cnn-grabcut-and-opencv/ | Image Segmentation with Mask R-CNN, GrabCut, and OpenCV |
https://pyimagesearch.com/2020/10/19/adversarial-images-and-attacks-with-keras-and-tensorflow/ | Adversarial images and attacks with Keras and TensorFlow |
https://pyimagesearch.com/2020/10/26/targeted-adversarial-attacks-with-keras-and-tensorflow/ | Targeted adversarial attacks with Keras and TensorFlow |
https://pyimagesearch.com/2020/11/02/apriltag-with-python/ | AprilTag with Python |
https://pyimagesearch.com/2020/11/09/opencv-super-resolution-with-deep-learning/ | OpenCV Super Resolution with Deep Learning |
https://pyimagesearch.com/2020/11/16/gans-with-keras-and-tensorflow/ | GANs with Keras and TensorFlow |
https://pyimagesearch.com/2020/11/23/building-image-pairs-for-siamese-networks-with-python/ | Building image pairs for siamese networks with Python |
https://pyimagesearch.com/2020/04/20/detect-and-remove-duplicate-images-from-a-dataset-for-deep-learning/ | Detect and remove duplicate images from a dataset for deep learning |
https://pyimagesearch.com/2020/04/27/fine-tuning-resnet-with-keras-tensorflow-and-deep-learning/ | Fine-tuning ResNet with Keras, TensorFlow, and Deep Learning |
https://pyimagesearch.com/2020/06/01/opencv-social-distancing-detector/ | OpenCV Social Distancing Detector |
https://pyimagesearch.com/2020/06/22/turning-any-cnn-image-classifier-into-an-object-detector-with-keras-tensorflow-and-opencv/ | Turning any CNN image classifier into an object detector with Keras, TensorFlow, and OpenCV |
https://pyimagesearch.com/2020/06/29/opencv-selective-search-for-object-detection/ | OpenCV Selective Search for Object Detection |
https://pyimagesearch.com/2020/07/06/region-proposal-object-detection-with-opencv-keras-and-tensorflow/ | Region proposal object detection with OpenCV, Keras, and TensorFlow |
https://pyimagesearch.com/2020/07/13/r-cnn-object-detection-with-keras-tensorflow-and-deep-learning/ | R-CNN object detection with Keras, TensorFlow, and Deep Learning |
https://pyimagesearch.com/2019/12/30/label-smoothing-with-keras-tensorflow-and-deep-learning/ | Label smoothing with Keras, TensorFlow, and Deep Learning |
https://pyimagesearch.com/2020/01/06/raspberry-pi-and-movidius-ncs-face-recognition/ | Raspberry Pi and Movidius NCS Face Recognition |
https://pyimagesearch.com/2020/01/13/optimizing-dlib-shape-predictor-accuracy-with-find_min_global/ | Optimizing dlib shape predictor accuracy with find_min_global |
https://pyimagesearch.com/2020/01/20/intro-to-anomaly-detection-with-opencv-computer-vision-and-scikit-learn/ | Intro to anomaly detection with OpenCV, Computer Vision, and scikit-learn |
https://pyimagesearch.com/2020/01/27/yolo-and-tiny-yolo-object-detection-on-the-raspberry-pi-and-movidius-ncs/ | YOLO and Tiny-YOLO object detection on the Raspberry Pi and Movidius NCS |
https://pyimagesearch.com/2020/02/10/opencv-dnn-with-nvidia-gpus-1549-faster-yolo-ssd-and-mask-r-cnn/ | OpenCV 'dnn' with NVIDIA GPUs: 1549% faster YOLO, SSD, and Mask R-CNN |
https://pyimagesearch.com/2020/02/17/autoencoders-with-keras-tensorflow-and-deep-learning/ | Autoencoders with Keras, TensorFlow, and Deep Learning |
https://pyimagesearch.com/2020/02/24/denoising-autoencoders-with-keras-tensorflow-and-deep-learning/ | Denoising autoencoders with Keras, TensorFlow, and Deep Learning |
https://pyimagesearch.com/2020/03/02/anomaly-detection-with-keras-tensorflow-and-deep-learning/ | Anomaly detection with Keras, TensorFlow, and Deep Learning |
https://pyimagesearch.com/2020/03/09/grad-cam-visualize-class-activation-maps-with-keras-tensorflow-and-deep-learning/ | Grad-CAM: Visualize class activation maps with Keras, TensorFlow, and Deep Learning |
https://pyimagesearch.com/2020/03/16/detecting-covid-19-in-x-ray-images-with-keras-tensorflow-and-deep-learning/ | Detecting COVID-19 in X-ray images with Keras, TensorFlow, and Deep Learning |
https://pyimagesearch.com/2020/03/23/using-tensorflow-and-gradienttape-to-train-a-keras-model/ | Using TensorFlow and GradientTape to train a Keras model |
https://pyimagesearch.com/2020/03/30/autoencoders-for-content-based-image-retrieval-with-keras-and-tensorflow/ | Autoencoders for Content-based Image Retrieval with Keras and TensorFlow |
https://pyimagesearch.com/2020/04/06/blur-and-anonymize-faces-with-opencv-and-python/ | Blur and anonymize faces with OpenCV and Python |
https://pyimagesearch.com/2019/08/26/building-an-image-hashing-search-engine-with-vp-trees-and-opencv/ | Building an Image Hashing Search Engine with VP-Trees and OpenCV |
https://pyimagesearch.com/2019/09/23/keras-starting-stopping-and-resuming-training/ | Keras: Starting, stopping, and resuming training |
https://pyimagesearch.com/2019/09/30/rectified-adam-radam-optimizer-with-keras/ | Rectified Adam (RAdam) optimizer with Keras |
https://pyimagesearch.com/2019/10/07/is-rectified-adam-actually-better-than-adam/ | Is Rectified Adam actually *better* than Adam? |
https://pyimagesearch.com/2019/10/21/keras-vs-tf-keras-whats-the-difference-in-tensorflow-2-0/ | Keras vs. tf.keras: What's the difference in TensorFlow 2.0? |
https://pyimagesearch.com/2019/11/11/detecting-natural-disasters-with-keras-and-deep-learning/ | Detecting Natural Disasters with Keras and Deep Learning |
https://pyimagesearch.com/2019/11/18/fire-and-smoke-detection-with-keras-and-deep-learning/ | Fire and smoke detection with Keras and Deep Learning |
https://pyimagesearch.com/2019/12/09/how-to-install-tensorflow-2-0-on-ubuntu/ | How to install TensorFlow 2.0 on Ubuntu |
https://pyimagesearch.com/2019/12/16/training-a-custom-dlib-shape-predictor/ | Training a custom dlib shape predictor |
https://pyimagesearch.com/2019/12/23/tuning-dlib-shape-predictor-hyperparameters-to-balance-speed-accuracy-and-model-size/ | Tuning dlib shape predictor hyperparameters to balance speed, accuracy, and model size |
https://pyimagesearch.com/2019/04/15/live-video-streaming-over-network-with-opencv-and-imagezmq/ | Live video streaming over network with OpenCV and ImageZMQ |
https://pyimagesearch.com/2019/04/22/getting-started-with-google-corals-tpu-usb-accelerator/ | Getting started with Google Coral's TPU USB Accelerator |
https://pyimagesearch.com/2019/05/06/getting-started-with-the-nvidia-jetson-nano/ | Getting started with the NVIDIA Jetson Nano |
https://pyimagesearch.com/2019/05/13/object-detection-and-image-classification-with-google-coral-usb-accelerator/ | Object detection and image classification with Google Coral USB Accelerator |
https://pyimagesearch.com/2019/05/20/transfer-learning-with-keras-and-deep-learning/ | Transfer Learning with Keras and Deep Learning |
https://pyimagesearch.com/2019/06/03/fine-tuning-with-keras-and-deep-learning/ | Fine-tuning with Keras and Deep Learning |
https://pyimagesearch.com/2019/06/24/change-input-shape-dimensions-for-fine-tuning-with-keras/ | Change input shape dimensions for fine-tuning with Keras |
https://pyimagesearch.com/2019/07/01/remote-development-on-the-raspberry-pi-or-amazon-ec2/ | Remote development on the Raspberry Pi (or Amazon EC2) |
https://pyimagesearch.com/2019/07/15/video-classification-with-keras-and-deep-learning/ | Video classification with Keras and Deep Learning |
https://pyimagesearch.com/2019/07/29/cyclical-learning-rates-with-keras-and-deep-learning/ | Cyclical Learning Rates with Keras and Deep Learning |
https://pyimagesearch.com/2019/08/05/keras-learning-rate-finder/ | Keras Learning Rate Finder |
https://pyimagesearch.com/2019/01/07/auto-keras-and-automl-a-getting-started-guide/ | Auto-Keras and AutoML: A Getting Started Guide |
https://pyimagesearch.com/2019/01/21/regression-with-keras/ | Regression with Keras |
https://pyimagesearch.com/2019/01/28/keras-regression-and-cnns/ | Keras, Regression, and CNNs |
https://pyimagesearch.com/2019/01/30/ubuntu-18-04-install-tensorflow-and-keras-for-deep-learning/ | Ubuntu 18.04: Install TensorFlow and Keras for Deep Learning |
https://pyimagesearch.com/2019/01/30/macos-mojave-install-tensorflow-and-keras-for-deep-learning/ | macOS Mojave: Install TensorFlow and Keras for Deep Learning |
https://pyimagesearch.com/2019/02/25/black-and-white-image-colorization-with-opencv-and-deep-learning/ | Black and white image colorization with OpenCV and Deep Learning |
https://pyimagesearch.com/2019/03/04/holistically-nested-edge-detection-with-opencv-and-deep-learning/ | Holistically-Nested Edge Detection with OpenCV and Deep Learning |
https://pyimagesearch.com/2019/03/25/building-a-raspberry-pi-security-camera-with-opencv/ | Building a Raspberry Pi security camera with OpenCV |
https://pyimagesearch.com/2019/04/01/pan-tilt-face-tracking-with-a-raspberry-pi-and-opencv/ | Pan/tilt face tracking with a Raspberry Pi and OpenCV |
https://pyimagesearch.com/2019/04/08/openvino-opencv-and-movidius-ncs-on-the-raspberry-pi/ | OpenVINO, OpenCV, and Movidius NCS on the Raspberry Pi |
https://pyimagesearch.com/2018/09/03/semantic-segmentation-with-opencv-and-deep-learning/ | Semantic segmentation with OpenCV and deep learning |
https://pyimagesearch.com/2018/09/10/keras-tutorial-how-to-get-started-with-keras-deep-learning-and-python/ | Keras Tutorial: How to get started with Keras, Deep Learning, and Python |
https://pyimagesearch.com/2018/09/26/install-opencv-4-on-your-raspberry-pi/ | Install OpenCV 4 on your Raspberry Pi |
https://pyimagesearch.com/2018/10/08/keras-vs-tensorflow-which-one-is-better-and-which-one-should-i-learn/ | Keras vs. TensorFlow - Which one is better and which one should I learn? |
https://pyimagesearch.com/2018/10/15/deep-learning-hydroponics-and-medical-marijuana/ | Deep learning, hydroponics, and medical marijuana |
https://pyimagesearch.com/2018/10/22/object-tracking-with-dlib/ | Object tracking with dlib |
https://pyimagesearch.com/2018/10/29/multi-object-tracking-with-dlib/ | Multi-object tracking with dlib |
https://pyimagesearch.com/2018/11/19/mask-r-cnn-with-opencv/ | Mask R-CNN with OpenCV |
https://pyimagesearch.com/2018/12/10/keras-save-and-load-your-deep-learning-models/ | Keras - Save and Load Your Deep Learning Models |
https://pyimagesearch.com/2018/05/14/a-gentle-guide-to-deep-learning-object-detection/ | A gentle guide to deep learning object detection |
https://pyimagesearch.com/2018/05/21/an-opencv-barcode-and-qr-code-scanner-with-zbar/ | An OpenCV barcode and QR code scanner with ZBar |
https://pyimagesearch.com/2018/05/28/ubuntu-18-04-how-to-install-opencv/ | Ubuntu 18.04: How to install OpenCV |
https://pyimagesearch.com/2018/06/04/keras-multiple-outputs-and-multiple-losses/ | Keras: Multiple outputs and multiple losses |
End of preview.