Datasets:
thompsonmj
commited on
Commit
•
21ac48e
1
Parent(s):
4e4dd35
Subdivide dataset by species (#4)
Browse files- Set to track split files with wildcards and large CSVs using LFS (28004917c2c90e485c1324bc6f5911fd11b92cac)
- Set to track split files with wildcards and large CSVs using LFS (3d8864371145b834504927f0dcbc7ccc3e049072)
- Archive data by species and split (2faf83c9d7f1c688e061944ebe606f08db4bcc3a)
- Fix merge issue (e739a22a1e0c6a385d0cb2edfa3d08e9e0271995)
This view is limited to 50 files because it contains too many changes.
See raw diff
- .gitattributes +5 -11
- KABR/README.txt +55 -0
- KABR/annotation/classes.json +1 -0
- KABR/annotation/distribution.xlsx +0 -0
- KABR_part_ad → KABR/annotation/train.csv +2 -2
- KABR_part_aa → KABR/annotation/val.csv +2 -2
- KABR/configs/I3D.yaml +99 -0
- KABR/configs/SLOWFAST.yaml +108 -0
- KABR/configs/X3D.yaml +98 -0
- KABR/dataset/image/giraffes_md5.txt +1 -0
- KABR_part_ab → KABR/dataset/image/giraffes_part_aa +2 -2
- KABR_part_ac → KABR/dataset/image/giraffes_part_ab +2 -2
- KABR/dataset/image/giraffes_part_ac +3 -0
- KABR/dataset/image/giraffes_part_ad +3 -0
- KABR/dataset/image/zebras_grevys_md5.txt +1 -0
- KABR/dataset/image/zebras_grevys_part_aa +3 -0
- KABR/dataset/image/zebras_grevys_part_ab +3 -0
- KABR/dataset/image/zebras_grevys_part_ac +3 -0
- KABR/dataset/image/zebras_grevys_part_ad +3 -0
- KABR/dataset/image/zebras_grevys_part_ae +3 -0
- KABR/dataset/image/zebras_grevys_part_af +3 -0
- KABR/dataset/image/zebras_grevys_part_ag +3 -0
- KABR/dataset/image/zebras_grevys_part_ah +3 -0
- KABR/dataset/image/zebras_grevys_part_ai +3 -0
- KABR/dataset/image/zebras_grevys_part_aj +3 -0
- KABR/dataset/image/zebras_grevys_part_ak +3 -0
- KABR/dataset/image/zebras_grevys_part_al +3 -0
- KABR/dataset/image/zebras_grevys_part_am +3 -0
- KABR/dataset/image/zebras_plains_md5.txt +1 -0
- KABR/dataset/image/zebras_plains_part_aa +3 -0
- KABR/dataset/image/zebras_plains_part_ab +3 -0
- KABR/dataset/image/zebras_plains_part_ac +3 -0
- KABR/dataset/image/zebras_plains_part_ad +3 -0
- KABR/dataset/image/zebras_plains_part_ae +3 -0
- KABR/dataset/image/zebras_plains_part_af +3 -0
- KABR/dataset/image/zebras_plains_part_ag +3 -0
- KABR/dataset/image/zebras_plains_part_ah +3 -0
- KABR/dataset/image/zebras_plains_part_ai +3 -0
- KABR/dataset/image/zebras_plains_part_aj +3 -0
- KABR/dataset/image/zebras_plains_part_ak +3 -0
- KABR/dataset/image/zebras_plains_part_al +3 -0
- KABR/dataset/image2video.py +67 -0
- KABR/dataset/image2visual.py +67 -0
- KABR_MD5.txt +0 -1
- KABR_part_ae +0 -3
- KABR_part_af +0 -3
- KABR_part_ag +0 -3
- KABR_part_ah +0 -3
- KABR_part_ai +0 -3
- KABR_part_aj +0 -3
.gitattributes
CHANGED
@@ -52,14 +52,8 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.jpg filter=lfs diff=lfs merge=lfs -text
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*.jpeg filter=lfs diff=lfs merge=lfs -text
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*.webp filter=lfs diff=lfs merge=lfs -text
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KABR_part_af filter=lfs diff=lfs merge=lfs -text
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KABR_part_ag filter=lfs diff=lfs merge=lfs -text
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KABR_part_ah filter=lfs diff=lfs merge=lfs -text
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KABR_part_ai filter=lfs diff=lfs merge=lfs -text
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KABR_part_aj filter=lfs diff=lfs merge=lfs -text
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KABR_part_ak filter=lfs diff=lfs merge=lfs -text
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*.jpg filter=lfs diff=lfs merge=lfs -text
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*.jpeg filter=lfs diff=lfs merge=lfs -text
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*.webp filter=lfs diff=lfs merge=lfs -text
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# Split data files
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*_part_* filter=lfs diff=lfs merge=lfs -text
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# Custom
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KABR/annotation/train.csv filter=lfs diff=lfs merge=lfs -text
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KABR/annotation/val.csv filter=lfs diff=lfs merge=lfs -text
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KABR/README.txt
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KABR: High-Quality Dataset for Kenyan Animal Behavior Recognition from Drone Videos
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---------------------------------------------------------------------------------------------------
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We present a novel high-quality dataset for animal behavior recognition from drone videos. The dataset is focused on Kenyan wildlife and contains behaviors of giraffes, plains zebras, and Grevy's zebras. The dataset consists of more than 10 hours of annotated videos, and it includes eight different classes, encompassing seven types of animal behavior and an additional category for occluded instances. In the annotation process for this dataset, a team of 10 people was involved, with an expert zoologist overseeing the process. Each behavior was labeled based on its distinctive features, using a standardized set of criteria to ensure consistency and accuracy across the annotations. The dataset was collected using drones that flew over the animals in the Mpala Research Centre in Kenya, providing high-quality video footage of the animal's natural behaviors. We believe that this dataset will be a valuable resource for researchers working on animal behavior recognition, as it provides a diverse and high-quality set of annotated videos that can be used for evaluating deep learning models. Additionally, the dataset can be used to study the behavior patterns of Kenyan animals and can help to inform conservation efforts and wildlife management strategies. We provide a detailed description of the dataset and its annotation process, along with some initial experiments on the dataset using conventional deep learning models. The results demonstrate the effectiveness of the dataset for animal behavior recognition and highlight the potential for further research in this area.
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---------------------------------------------------------------------------------------------------
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The KABR dataset follows the Charades format. The Charades format:
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KABR
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/images
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/video_1
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/image_1.jpg
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/image_2.jpg
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...
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/image_n.jpg
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/video_2
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/image_1.jpg
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/image_2.jpg
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...
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/image_n.jpg
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...
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/video_n
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/image_1.jpg
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/image_2.jpg
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/image_3.jpg
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...
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/image_n.jpg
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/annotation
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/classes.json
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/train.csv
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/val.csv
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The dataset can be directly loaded and processed by the SlowFast (https://github.com/facebookresearch/SlowFast) framework.
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---------------------------------------------------------------------------------------------------
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Naming:
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G0XXX.X - Giraffes
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ZP0XXX.X - Plains Zebras
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ZG0XXX.X - Grevy's Zebras
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---------------------------------------------------------------------------------------------------
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Information:
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KABR/configs: examples of SlowFast framework configs.
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KABR/annotation/distribution.xlsx: distribution of classes for all videos.
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---------------------------------------------------------------------------------------------------
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Scripts:
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image2video.py: Encode image sequences into the original video. For example, [image/G0067.1, image/G0067.2, ..., image/G0067.24] will be encoded into video/G0067.mp4.
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image2visual.py: Encode image sequences into the original video with corresponding annotations. For example, [image/G0067.1, image/G0067.2, ..., image/G0067.24] will be encoded into visual/G0067.mp4.
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KABR/annotation/classes.json
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{"Walk": 0, "Graze": 1, "Browse": 2, "Head Up": 3, "Auto-Groom": 4, "Trot": 5, "Run": 6, "Occluded": 7}
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KABR/annotation/distribution.xlsx
ADDED
Binary file (5.62 kB). View file
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KABR_part_ad → KABR/annotation/train.csv
RENAMED
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:9fded23bb35b4bbef7d1d2f606a73afd8996957eea4ffe542b79c6cdcc7eee78
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size 30325892
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KABR_part_aa → KABR/annotation/val.csv
RENAMED
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:b663c75fa0f2ecadc01798623da56f040050420c3b5db71cc2444319db32df73
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size 10652837
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KABR/configs/I3D.yaml
ADDED
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TRAIN:
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ENABLE: True
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DATASET: charades
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BATCH_SIZE: 8
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EVAL_PERIOD: 5
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CHECKPOINT_PERIOD: 5
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AUTO_RESUME: True
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# CHECKPOINT_FILE_PATH:
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CHECKPOINT_TYPE: pytorch
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CHECKPOINT_INFLATE: False
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MIXED_PRECISION: True
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TEST:
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ENABLE: True
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DATASET: charades
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BATCH_SIZE: 8
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NUM_ENSEMBLE_VIEWS: 2
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NUM_SPATIAL_CROPS: 1
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# CHECKPOINT_FILE_PATH:
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CHECKPOINT_TYPE: pytorch
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DATA:
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NUM_FRAMES: 16
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SAMPLING_RATE: 5
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TRAIN_JITTER_SCALES: [320, 320]
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TRAIN_CROP_SIZE: 320
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TEST_CROP_SIZE: 320
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TRAIN_CROP_NUM_TEMPORAL: 1
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INPUT_CHANNEL_NUM: [3]
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MULTI_LABEL: False
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RANDOM_FLIP: True
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SSL_COLOR_JITTER: True
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SSL_COLOR_BRI_CON_SAT: [0.2, 0.2, 0.2]
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INV_UNIFORM_SAMPLE: True
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ENSEMBLE_METHOD: max
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REVERSE_INPUT_CHANNEL: True
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PATH_TO_DATA_DIR: "./KABR/annotation"
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PATH_PREFIX: "./KABR/dataset/image"
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DECODING_BACKEND: torchvision
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RESNET:
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ZERO_INIT_FINAL_BN: True
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WIDTH_PER_GROUP: 64
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NUM_GROUPS: 1
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DEPTH: 50
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TRANS_FUNC: bottleneck_transform
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STRIDE_1X1: False
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NUM_BLOCK_TEMP_KERNEL: [[3], [4], [6], [3]]
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NONLOCAL:
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LOCATION: [[[]], [[]], [[]], [[]]]
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GROUP: [[1], [1], [1], [1]]
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INSTANTIATION: softmax
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BN:
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USE_PRECISE_STATS: True
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NUM_BATCHES_PRECISE: 100
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NORM_TYPE: sync_batchnorm
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NUM_SYNC_DEVICES: 1
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SOLVER:
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BASE_LR: 0.1
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LR_POLICY: cosine
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MAX_EPOCH: 120
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MOMENTUM: 0.9
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WEIGHT_DECAY: 1e-4
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WARMUP_EPOCHS: 34.0
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WARMUP_START_LR: 0.01
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OPTIMIZING_METHOD: sgd
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MODEL:
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NUM_CLASSES: 8
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ARCH: i3d
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MODEL_NAME: ResNet
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LOSS_FUNC: cross_entropy
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DROPOUT_RATE: 0.5
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DATA_LOADER:
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NUM_WORKERS: 8
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PIN_MEMORY: True
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NUM_GPUS: 1
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NUM_SHARDS: 1
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RNG_SEED: 0
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OUTPUT_DIR: ./logs/i3d-kabr
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LOG_MODEL_INFO: True
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TENSORBOARD:
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ENABLE: False
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DEMO:
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ENABLE: True
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LABEL_FILE_PATH: ./KABR/annotation/classes.json
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# INPUT_VIDEO: # path to input
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# OUTPUT_FILE: # path to output
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THREAD_ENABLE: False
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THREAD_ENABLE: False
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NUM_VIS_INSTANCES: 1
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NUM_CLIPS_SKIP: 1
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KABR/configs/SLOWFAST.yaml
ADDED
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TRAIN:
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ENABLE: True
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DATASET: charades
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BATCH_SIZE: 8
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EVAL_PERIOD: 5
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CHECKPOINT_PERIOD: 5
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AUTO_RESUME: True
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# CHECKPOINT_FILE_PATH:
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CHECKPOINT_TYPE: pytorch
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CHECKPOINT_INFLATE: False
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MIXED_PRECISION: True
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TEST:
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ENABLE: True
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DATASET: charades
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BATCH_SIZE: 8
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NUM_ENSEMBLE_VIEWS: 2
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NUM_SPATIAL_CROPS: 1
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# CHECKPOINT_FILE_PATH:
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CHECKPOINT_TYPE: pytorch
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DATA:
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NUM_FRAMES: 16
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SAMPLING_RATE: 5
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TRAIN_JITTER_SCALES: [256, 256]
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TRAIN_CROP_SIZE: 256
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TEST_CROP_SIZE: 256
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TRAIN_CROP_NUM_TEMPORAL: 1
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INPUT_CHANNEL_NUM: [3, 3]
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MULTI_LABEL: False
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RANDOM_FLIP: True
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SSL_COLOR_JITTER: True
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SSL_COLOR_BRI_CON_SAT: [0.2, 0.2, 0.2]
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INV_UNIFORM_SAMPLE: True
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ENSEMBLE_METHOD: max
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REVERSE_INPUT_CHANNEL: True
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PATH_TO_DATA_DIR: "./KABR/annotation"
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PATH_PREFIX: "./KABR/dataset/image"
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DECODING_BACKEND: torchvision
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SLOWFAST:
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ALPHA: 4
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BETA_INV: 8
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44 |
+
FUSION_CONV_CHANNEL_RATIO: 2
|
45 |
+
FUSION_KERNEL_SZ: 7
|
46 |
+
|
47 |
+
RESNET:
|
48 |
+
ZERO_INIT_FINAL_BN: True
|
49 |
+
WIDTH_PER_GROUP: 64
|
50 |
+
NUM_GROUPS: 1
|
51 |
+
DEPTH: 50
|
52 |
+
TRANS_FUNC: bottleneck_transform
|
53 |
+
STRIDE_1X1: False
|
54 |
+
NUM_BLOCK_TEMP_KERNEL: [[3, 3], [4, 4], [6, 6], [3, 3]]
|
55 |
+
SPATIAL_STRIDES: [[1, 1], [2, 2], [2, 2], [2, 2]]
|
56 |
+
SPATIAL_DILATIONS: [[1, 1], [1, 1], [1, 1], [1, 1]]
|
57 |
+
|
58 |
+
NONLOCAL:
|
59 |
+
LOCATION: [[[], []], [[], []], [[], []], [[], []]]
|
60 |
+
GROUP: [[1, 1], [1, 1], [1, 1], [1, 1]]
|
61 |
+
INSTANTIATION: dot_product
|
62 |
+
|
63 |
+
BN:
|
64 |
+
USE_PRECISE_STATS: True
|
65 |
+
NUM_BATCHES_PRECISE: 200
|
66 |
+
NORM_TYPE: sync_batchnorm
|
67 |
+
NUM_SYNC_DEVICES: 1
|
68 |
+
|
69 |
+
SOLVER:
|
70 |
+
BASE_LR: 0.0375
|
71 |
+
LR_POLICY: steps_with_relative_lrs
|
72 |
+
LRS: [1, 0.1, 0.01, 0.001, 0.0001, 0.00001]
|
73 |
+
STEPS: [0, 41, 49]
|
74 |
+
MAX_EPOCH: 80
|
75 |
+
MOMENTUM: 0.9
|
76 |
+
WEIGHT_DECAY: 1e-4
|
77 |
+
WARMUP_EPOCHS: 3.0
|
78 |
+
WARMUP_START_LR: 0.0001
|
79 |
+
OPTIMIZING_METHOD: sgd
|
80 |
+
|
81 |
+
MODEL:
|
82 |
+
NUM_CLASSES: 8
|
83 |
+
ARCH: slowfast
|
84 |
+
LOSS_FUNC: cross_entropy
|
85 |
+
DROPOUT_RATE: 0.5
|
86 |
+
|
87 |
+
DATA_LOADER:
|
88 |
+
NUM_WORKERS: 8
|
89 |
+
PIN_MEMORY: True
|
90 |
+
|
91 |
+
NUM_GPUS: 1
|
92 |
+
NUM_SHARDS: 1
|
93 |
+
RNG_SEED: 0
|
94 |
+
OUTPUT_DIR: ./logs/slowfast-kabr
|
95 |
+
LOG_MODEL_INFO: True
|
96 |
+
|
97 |
+
TENSORBOARD:
|
98 |
+
ENABLE: False
|
99 |
+
|
100 |
+
DEMO:
|
101 |
+
ENABLE: True
|
102 |
+
LABEL_FILE_PATH: ./KABR/annotation/classes.json
|
103 |
+
# INPUT_VIDEO: # path to input
|
104 |
+
# OUTPUT_FILE: # path to output
|
105 |
+
THREAD_ENABLE: False
|
106 |
+
THREAD_ENABLE: False
|
107 |
+
NUM_VIS_INSTANCES: 1
|
108 |
+
NUM_CLIPS_SKIP: 1
|
KABR/configs/X3D.yaml
ADDED
@@ -0,0 +1,98 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
TRAIN:
|
2 |
+
ENABLE: True
|
3 |
+
DATASET: charades
|
4 |
+
BATCH_SIZE: 8
|
5 |
+
EVAL_PERIOD: 5
|
6 |
+
CHECKPOINT_PERIOD: 5
|
7 |
+
AUTO_RESUME: True
|
8 |
+
# CHECKPOINT_FILE_PATH:
|
9 |
+
CHECKPOINT_TYPE: pytorch
|
10 |
+
CHECKPOINT_INFLATE: False
|
11 |
+
MIXED_PRECISION: True
|
12 |
+
|
13 |
+
TEST:
|
14 |
+
ENABLE: True
|
15 |
+
DATASET: charades
|
16 |
+
BATCH_SIZE: 8
|
17 |
+
NUM_ENSEMBLE_VIEWS: 2
|
18 |
+
NUM_SPATIAL_CROPS: 1
|
19 |
+
# CHECKPOINT_FILE_PATH:
|
20 |
+
CHECKPOINT_TYPE: pytorch
|
21 |
+
|
22 |
+
DATA:
|
23 |
+
NUM_FRAMES: 16
|
24 |
+
SAMPLING_RATE: 5
|
25 |
+
TRAIN_JITTER_SCALES: [300, 300]
|
26 |
+
TRAIN_CROP_SIZE: 300
|
27 |
+
TEST_CROP_SIZE: 300
|
28 |
+
TRAIN_CROP_NUM_TEMPORAL: 1
|
29 |
+
INPUT_CHANNEL_NUM: [3]
|
30 |
+
MULTI_LABEL: False
|
31 |
+
RANDOM_FLIP: True
|
32 |
+
SSL_COLOR_JITTER: True
|
33 |
+
SSL_COLOR_BRI_CON_SAT: [0.2, 0.2, 0.2]
|
34 |
+
INV_UNIFORM_SAMPLE: True
|
35 |
+
ENSEMBLE_METHOD: max
|
36 |
+
REVERSE_INPUT_CHANNEL: True
|
37 |
+
PATH_TO_DATA_DIR: "./KABR/annotation"
|
38 |
+
PATH_PREFIX: "./KABR/dataset/image"
|
39 |
+
DECODING_BACKEND: torchvision
|
40 |
+
|
41 |
+
X3D:
|
42 |
+
WIDTH_FACTOR: 2.0
|
43 |
+
DEPTH_FACTOR: 5.0
|
44 |
+
BOTTLENECK_FACTOR: 2.25
|
45 |
+
DIM_C5: 2048
|
46 |
+
DIM_C1: 12
|
47 |
+
|
48 |
+
RESNET:
|
49 |
+
ZERO_INIT_FINAL_BN: True
|
50 |
+
TRANS_FUNC: x3d_transform
|
51 |
+
STRIDE_1X1: False
|
52 |
+
|
53 |
+
BN:
|
54 |
+
USE_PRECISE_STATS: True
|
55 |
+
NUM_BATCHES_PRECISE: 200
|
56 |
+
NORM_TYPE: sync_batchnorm
|
57 |
+
NUM_SYNC_DEVICES: 1
|
58 |
+
WEIGHT_DECAY: 0.0
|
59 |
+
|
60 |
+
SOLVER:
|
61 |
+
BASE_LR: 0.05
|
62 |
+
BASE_LR_SCALE_NUM_SHARDS: True
|
63 |
+
MAX_EPOCH: 120
|
64 |
+
LR_POLICY: cosine
|
65 |
+
WEIGHT_DECAY: 5e-5
|
66 |
+
WARMUP_EPOCHS: 35.0
|
67 |
+
WARMUP_START_LR: 0.01
|
68 |
+
OPTIMIZING_METHOD: sgd
|
69 |
+
|
70 |
+
MODEL:
|
71 |
+
NUM_CLASSES: 8
|
72 |
+
ARCH: x3d
|
73 |
+
MODEL_NAME: X3D
|
74 |
+
LOSS_FUNC: cross_entropy
|
75 |
+
DROPOUT_RATE: 0.5
|
76 |
+
|
77 |
+
DATA_LOADER:
|
78 |
+
NUM_WORKERS: 8
|
79 |
+
PIN_MEMORY: True
|
80 |
+
|
81 |
+
NUM_GPUS: 1
|
82 |
+
NUM_SHARDS: 1
|
83 |
+
RNG_SEED: 0
|
84 |
+
OUTPUT_DIR: ./logs/x3d-l-kabr
|
85 |
+
LOG_MODEL_INFO: True
|
86 |
+
|
87 |
+
TENSORBOARD:
|
88 |
+
ENABLE: False
|
89 |
+
|
90 |
+
DEMO:
|
91 |
+
ENABLE: True
|
92 |
+
LABEL_FILE_PATH: ./KABR/annotation/classes.json
|
93 |
+
# INPUT_VIDEO: # path to input
|
94 |
+
# OUTPUT_FILE: # path to output
|
95 |
+
THREAD_ENABLE: False
|
96 |
+
THREAD_ENABLE: False
|
97 |
+
NUM_VIS_INSTANCES: 1
|
98 |
+
NUM_CLIPS_SKIP: 1
|
KABR/dataset/image/giraffes_md5.txt
ADDED
@@ -0,0 +1 @@
|
|
|
|
|
1 |
+
7aa9270fffa9ca10d2fe3a61f34770ba giraffes.zip
|
KABR_part_ab → KABR/dataset/image/giraffes_part_aa
RENAMED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
-
size
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:5bac568ae6c6015f82509b6e950e691a89f31662ddf175176a087544143db290
|
3 |
+
size 2147483648
|
KABR_part_ac → KABR/dataset/image/giraffes_part_ab
RENAMED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
-
size
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
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oid sha256:ee62913b9c0c2080351a7df6ee5b52a4820c488727460375a470acf947575986
|
3 |
+
size 2147483648
|
KABR/dataset/image/giraffes_part_ac
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
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oid sha256:7cc2d6a05efc1b9b070c15a9a89382864885ac0422c345f8e09c2c520143a1bd
|
3 |
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size 2147483648
|
KABR/dataset/image/giraffes_part_ad
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
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2 |
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oid sha256:87372e3547b2f39b6ffa0c10952a406e9c8d6a54499f325d35aedc25f7c015fa
|
3 |
+
size 1951376838
|
KABR/dataset/image/zebras_grevys_md5.txt
ADDED
@@ -0,0 +1 @@
|
|
|
|
|
1 |
+
9084ac4bbda00ff527951384ef2da313 zebras_grevys.zip
|
KABR/dataset/image/zebras_grevys_part_aa
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
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2 |
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oid sha256:3e78e55b9f534b79df031afcd75581dce3aa4c59f244eeeb42ed5eedce4c8465
|
3 |
+
size 2147483648
|
KABR/dataset/image/zebras_grevys_part_ab
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
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2 |
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oid sha256:9788a9b699d339bfe74e2265b4d3b68389b474332bf9b7be7d9cbbb9ebc33960
|
3 |
+
size 2147483648
|
KABR/dataset/image/zebras_grevys_part_ac
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
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2 |
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oid sha256:f1987838498e42bd052c5cf6f453e8dcb9c0611071262119037218eaf3b4e320
|
3 |
+
size 2147483648
|
KABR/dataset/image/zebras_grevys_part_ad
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
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oid sha256:ee8555402ba584771c43e4b3e4b4edfcfbffd08996a2bc7aae1b49035826c8b4
|
3 |
+
size 2147483648
|
KABR/dataset/image/zebras_grevys_part_ae
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
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oid sha256:6ec2607254f6b2ddca0e18aabab15a42ca97f4631878962243f6658541a186c7
|
3 |
+
size 2147483648
|
KABR/dataset/image/zebras_grevys_part_af
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
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oid sha256:103a6d435da7743935da5ed3d4e376d1dfdf1dc58bbd5c47880e5d142eef6d0d
|
3 |
+
size 2147483648
|
KABR/dataset/image/zebras_grevys_part_ag
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
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oid sha256:a5dd33bcbc62cb9717854a7f8e2f5e5b31c970e54b4c18e5201aed704cf3d3bc
|
3 |
+
size 2147483648
|
KABR/dataset/image/zebras_grevys_part_ah
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
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2 |
+
oid sha256:b331e25f572d95f161a1f61bfc065e49c17bbf2d4d128e54c4512dea884f2c6e
|
3 |
+
size 2147483648
|
KABR/dataset/image/zebras_grevys_part_ai
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
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2 |
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oid sha256:435a27f8c8cb1d32823c261eef98b700cf78b843a2f6e80eb7a3284dc33a2f36
|
3 |
+
size 2147483648
|
KABR/dataset/image/zebras_grevys_part_aj
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:43d838db21ef3e4820a0949d628017aa61d5876fffdbeba18639b9a2be5482b6
|
3 |
+
size 2147483648
|
KABR/dataset/image/zebras_grevys_part_ak
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
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oid sha256:f46efb8ab0a31058ffe4a7690f904e79881b772b20088710fdee0ea548696cf3
|
3 |
+
size 2147483648
|
KABR/dataset/image/zebras_grevys_part_al
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:2ae431c840f7e3d1e4fd01180836478e4054dabb1cd5a6ca416fd7ef76089459
|
3 |
+
size 2147483648
|
KABR/dataset/image/zebras_grevys_part_am
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:8fd2cad718b4f753c0a23ec08201d5974db51ca4d5a7427d5dc5720ede52249e
|
3 |
+
size 129174797
|
KABR/dataset/image/zebras_plains_md5.txt
ADDED
@@ -0,0 +1 @@
|
|
|
|
|
1 |
+
1f0c62ff5294a0d607807c634a30e04e zebras_plains.zip
|
KABR/dataset/image/zebras_plains_part_aa
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:bff22f5475da31d34cddbe061c80ed4a28dee4110abe932c47aea6bb715066f4
|
3 |
+
size 2147483648
|
KABR/dataset/image/zebras_plains_part_ab
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:5dfe8933c8e80b51686ce17ccf02e4d14fb515b9d2f9e75d561580a60909d897
|
3 |
+
size 2147483648
|
KABR/dataset/image/zebras_plains_part_ac
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
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oid sha256:1c6e21fe556ef09a314ac1bea1c878c87c0d6732f5fa45f0bb7d23541590e8d5
|
3 |
+
size 2147483648
|
KABR/dataset/image/zebras_plains_part_ad
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
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oid sha256:164934163fffe0671f163bdce7cb1c5156e5c91a64876dd88c27d1433d79303e
|
3 |
+
size 2147483648
|
KABR/dataset/image/zebras_plains_part_ae
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
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oid sha256:2573329692e751e2f172a1407f1890c5ebe6ec3d6af9e5be91a2542c6a1aca4c
|
3 |
+
size 2147483648
|
KABR/dataset/image/zebras_plains_part_af
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
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2 |
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oid sha256:ebe28b7135dfb18f9b4bacb051579a0c2364720a005ef96c7323296559a2ec86
|
3 |
+
size 2147483648
|
KABR/dataset/image/zebras_plains_part_ag
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
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oid sha256:7c5b16e93ed2bb71472a8b4eafbd1a78e21d7d9a1e620201426b41bec7a034d5
|
3 |
+
size 2147483648
|
KABR/dataset/image/zebras_plains_part_ah
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:1cb2a383c57734eb055c88e0da063df4324db0cc98472976e257af2d16f1b3e5
|
3 |
+
size 2147483648
|
KABR/dataset/image/zebras_plains_part_ai
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:771b8ef309190b619d7b6b88f68b68bce351510bcd46ecb9cd58a5237058ee87
|
3 |
+
size 2147483648
|
KABR/dataset/image/zebras_plains_part_aj
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:9b5ed5d4828741edac73d54c018bbceff59736a1f4e821b1a4f84bb3888d4e30
|
3 |
+
size 2147483648
|
KABR/dataset/image/zebras_plains_part_ak
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:8b59c41aef5c8ae0809abb035b97816a767c72d30be150742550b99c5f4c90eb
|
3 |
+
size 2147483648
|
KABR/dataset/image/zebras_plains_part_al
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:d3223ffc298ec89e81c99fe6e980cffed9a989468ef741ea72e5432d9e6e464f
|
3 |
+
size 91613758
|
KABR/dataset/image2video.py
ADDED
@@ -0,0 +1,67 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
import os
|
2 |
+
import sys
|
3 |
+
import json
|
4 |
+
import cv2
|
5 |
+
from natsort import natsorted
|
6 |
+
import pandas as pd
|
7 |
+
from tqdm import tqdm
|
8 |
+
|
9 |
+
if __name__ == "__main__":
|
10 |
+
path_to_image = "image"
|
11 |
+
path_to_video = "video"
|
12 |
+
annotation_train = "../annotation/train.csv"
|
13 |
+
annotation_val = "../annotation/val.csv"
|
14 |
+
classes_json = "../annotation/classes.json"
|
15 |
+
visual = False
|
16 |
+
|
17 |
+
if not os.path.exists(path_to_video):
|
18 |
+
os.makedirs(path_to_video)
|
19 |
+
|
20 |
+
with open(classes_json, "r") as file:
|
21 |
+
label2number = json.load(file)
|
22 |
+
|
23 |
+
number2label = {value: key for key, value in label2number.items()}
|
24 |
+
|
25 |
+
df_train = pd.read_csv(annotation_train, sep=" ")
|
26 |
+
df_val = pd.read_csv(annotation_val, sep=" ")
|
27 |
+
df = pd.concat([df_train, df_val], axis=0)
|
28 |
+
folders = natsorted(os.listdir(path_to_image))
|
29 |
+
|
30 |
+
hierarchy = {}
|
31 |
+
|
32 |
+
for folder in folders:
|
33 |
+
main = folder.split(".")[0]
|
34 |
+
|
35 |
+
if hierarchy.get(main) is None:
|
36 |
+
hierarchy[main] = [folder]
|
37 |
+
else:
|
38 |
+
hierarchy[main].append(folder)
|
39 |
+
|
40 |
+
for i, folder in tqdm(enumerate(hierarchy.keys()), total=len(hierarchy.keys())):
|
41 |
+
vw = cv2.VideoWriter(f"{path_to_video}/{folder}.mp4", cv2.VideoWriter_fourcc("m", "p", "4", "v"), 29.97,
|
42 |
+
(400, 300))
|
43 |
+
|
44 |
+
for segment in hierarchy[folder]:
|
45 |
+
mapping = {}
|
46 |
+
|
47 |
+
for index, row in df[df.original_vido_id == segment].iterrows():
|
48 |
+
mapping[row["frame_id"]] = number2label[row["labels"]]
|
49 |
+
|
50 |
+
for j, file in enumerate(natsorted(os.listdir(path_to_image + os.sep + segment))):
|
51 |
+
image = cv2.imread(f"{path_to_image}/{segment}/{file}")
|
52 |
+
|
53 |
+
if visual:
|
54 |
+
color = (0, 0, 0)
|
55 |
+
label = mapping[j + 1]
|
56 |
+
thickness_in = 1
|
57 |
+
size = 0.7
|
58 |
+
label_length = cv2.getTextSize(label, cv2.FONT_HERSHEY_SIMPLEX, size, thickness_in)
|
59 |
+
copied = image.copy()
|
60 |
+
cv2.rectangle(image, (10, 10), (20 + label_length[0][0], 40), (255, 255, 255), -1)
|
61 |
+
cv2.putText(image, label, (16, 31),
|
62 |
+
cv2.FONT_HERSHEY_SIMPLEX, size, tuple([i - 50 for i in color]), thickness_in, cv2.LINE_AA)
|
63 |
+
image = cv2.addWeighted(image, 0.4, copied, 0.6, 0.0)
|
64 |
+
|
65 |
+
vw.write(image)
|
66 |
+
|
67 |
+
vw.release()
|
KABR/dataset/image2visual.py
ADDED
@@ -0,0 +1,67 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
import os
|
2 |
+
import sys
|
3 |
+
import json
|
4 |
+
import cv2
|
5 |
+
from natsort import natsorted
|
6 |
+
import pandas as pd
|
7 |
+
from tqdm import tqdm
|
8 |
+
|
9 |
+
if __name__ == "__main__":
|
10 |
+
path_to_image = "image"
|
11 |
+
path_to_video = "visual"
|
12 |
+
annotation_train = "../annotation/train.csv"
|
13 |
+
annotation_val = "../annotation/val.csv"
|
14 |
+
classes_json = "../annotation/classes.json"
|
15 |
+
visual = True
|
16 |
+
|
17 |
+
if not os.path.exists(path_to_video):
|
18 |
+
os.makedirs(path_to_video)
|
19 |
+
|
20 |
+
with open(classes_json, "r") as file:
|
21 |
+
label2number = json.load(file)
|
22 |
+
|
23 |
+
number2label = {value: key for key, value in label2number.items()}
|
24 |
+
|
25 |
+
df_train = pd.read_csv(annotation_train, sep=" ")
|
26 |
+
df_val = pd.read_csv(annotation_val, sep=" ")
|
27 |
+
df = pd.concat([df_train, df_val], axis=0)
|
28 |
+
folders = natsorted(os.listdir(path_to_image))
|
29 |
+
|
30 |
+
hierarchy = {}
|
31 |
+
|
32 |
+
for folder in folders:
|
33 |
+
main = folder.split(".")[0]
|
34 |
+
|
35 |
+
if hierarchy.get(main) is None:
|
36 |
+
hierarchy[main] = [folder]
|
37 |
+
else:
|
38 |
+
hierarchy[main].append(folder)
|
39 |
+
|
40 |
+
for i, folder in tqdm(enumerate(hierarchy.keys()), total=len(hierarchy.keys())):
|
41 |
+
vw = cv2.VideoWriter(f"{path_to_video}/{folder}.mp4", cv2.VideoWriter_fourcc("m", "p", "4", "v"), 29.97,
|
42 |
+
(400, 300))
|
43 |
+
|
44 |
+
for segment in hierarchy[folder]:
|
45 |
+
mapping = {}
|
46 |
+
|
47 |
+
for index, row in df[df.original_vido_id == segment].iterrows():
|
48 |
+
mapping[row["frame_id"]] = number2label[row["labels"]]
|
49 |
+
|
50 |
+
for j, file in enumerate(natsorted(os.listdir(path_to_image + os.sep + segment))):
|
51 |
+
image = cv2.imread(f"{path_to_image}/{segment}/{file}")
|
52 |
+
|
53 |
+
if visual:
|
54 |
+
color = (0, 0, 0)
|
55 |
+
label = mapping[j + 1]
|
56 |
+
thickness_in = 1
|
57 |
+
size = 0.7
|
58 |
+
label_length = cv2.getTextSize(label, cv2.FONT_HERSHEY_SIMPLEX, size, thickness_in)
|
59 |
+
copied = image.copy()
|
60 |
+
cv2.rectangle(image, (10, 10), (20 + label_length[0][0], 40), (255, 255, 255), -1)
|
61 |
+
cv2.putText(image, label, (16, 31),
|
62 |
+
cv2.FONT_HERSHEY_SIMPLEX, size, tuple([i - 50 for i in color]), thickness_in, cv2.LINE_AA)
|
63 |
+
image = cv2.addWeighted(image, 0.4, copied, 0.6, 0.0)
|
64 |
+
|
65 |
+
vw.write(image)
|
66 |
+
|
67 |
+
vw.release()
|
KABR_MD5.txt
DELETED
@@ -1 +0,0 @@
|
|
1 |
-
MD5 (KABR.zip) = 6a4d7fa706a87a2e05171bcafce616ca
|
|
|
|
KABR_part_ae
DELETED
@@ -1,3 +0,0 @@
|
|
1 |
-
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:e055bf2004e7cdb819716582e3a8b0503512a0e131631441f606b9d8e3f31cd9
|
3 |
-
size 5368709120
|
|
|
|
|
|
|
|
KABR_part_af
DELETED
@@ -1,3 +0,0 @@
|
|
1 |
-
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:3111391cdfa84ae7b06454476c64dd1bbc5d5787c3cd9480f2829e60066de58d
|
3 |
-
size 5368709120
|
|
|
|
|
|
|
|
KABR_part_ag
DELETED
@@ -1,3 +0,0 @@
|
|
1 |
-
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:a3d84f09298d690bbd0b13dfa9645383dfef268422db6bcc754d737d2c4fa78a
|
3 |
-
size 5368709120
|
|
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|
|
KABR_part_ah
DELETED
@@ -1,3 +0,0 @@
|
|
1 |
-
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:94fd36f64bfb67d29d839bb5413bdc29a420e2441897a73702ee4dc98019e80c
|
3 |
-
size 5368709120
|
|
|
|
|
|
|
|
KABR_part_ai
DELETED
@@ -1,3 +0,0 @@
|
|
1 |
-
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:4585423f41c9dd56e75e4e56a3c3b8add0a88371d9cff343ba07f0b1fe46ff9a
|
3 |
-
size 5368709120
|
|
|
|
|
|
|
|
KABR_part_aj
DELETED
@@ -1,3 +0,0 @@
|
|
1 |
-
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:26aac1343b682be2ba44a38599b59611febbe8b38d66f35f68e850e3cfb38672
|
3 |
-
size 5368709120
|
|
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|
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|
|