torchvision.datasets.Kinetics broken
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- Dominant language
- Python
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Description
🐛 Describe the bug
from torchvision.datasets import Kinetics
dataset = Kinetics(root='./data/', frames_per_clip = 40, num_classes = '700', download = True)
error:
FileNotFoundError: Found no valid file for the classes acting_in_play, adjusting_glasses, air_drumming, alligator_wrestling, answering_questions, applying_cream, archaeological_excavation, arm_wrestling, arranging_flowers, assembling_bicycle, assembling_computer, attending_conference, baby_waking_up, backflip_human, baking_cookies, base_jumping, bathing_dog, battle_rope_training, bee_keeping, being_excited, being_in_zero_gravity, belly_dancing, bench_pressing, bending_back, bending_metal, biking_through_snow, blasting_sand, blending_fruit, blowdrying_hair, blowing_bubble_gum, blowing_glass, blowing_leaves, blowing_nose, blowing_out_candles, bouncing_ball_not_juggling, bouncing_on_bouncy_castle, bouncing_on_trampoline, braiding_hair, breading_or_breadcrumbing, breaking_boards, breaking_glass, breathing_fire, brush_painting, brushing_floor, brushing_hair, brushing_teeth, building_cabinet, building_lego, building_sandcastle, building_shed, bungee_jumping, canoeing_or_kayaking, card_stacking, card_throwing, carrying_baby, carrying_weight, carving_ice, carving_marble, carving_pumpkin, carving_wood_with_a_knife, casting_fishing_line, catching_fish, catching_or_throwing_baseball, catching_or_throwing_frisbee, catching_or_throwing_softball, changing_gear_in_car, changing_oil, changing_wheel_not_on_bike, checking_tires, checking_watch, chewing_gum, chiseling_stone, chiseling_wood, chopping_meat, chopping_wood, clam_digging, clay_pottery_making, clean_and_jerk, cleaning_gutters, cleaning_pool, cleaning_shoes, cleaning_toilet, cleaning_windows, climbing_a_rope, climbing_ladder, climbing_tree, closing_door, coloring_in, combing_hair, contact_juggling, cooking_chicken, cooking_egg, cooking_on_campfire, cooking_sausages_not_on_barbeque, cooking_scallops, counting_money, country_line_dancing, cracking_back, cracking_knuckles, cracking_neck, crawling_baby, crossing_eyes, crossing_river, curling_eyelashes, curling_hair, curling_sport, cutting_apple, cutting_cake, cutting_nails, cutting_orange, cutting_pineapple, cutting_watermelon, dancing_ballet, dancing_charleston, dancing_gangnam_style, dancing_macarena, dealing_cards, decorating_the_christmas_tree, delivering_mail, directing_traffic, disc_golfing, diving_cliff, docking_boat, doing_aerobics, doing_jigsaw_puzzle, doing_laundry, doing_nails, doing_sudoku, dribbling_basketball, drinking_shots, driving_car, driving_tractor, drop_kicking, drumming_fingers, dumpster_diving, dunking_basketball, dyeing_eyebrows, dyeing_hair, eating_burger, eating_cake, eating_carrots, eating_chips, eating_doughnuts, eating_hotdog, eating_ice_cream, eating_nachos, eating_spaghetti, eating_watermelon, egg_hunting, entering_church, exercising_arm, exercising_with_an_exercise_ball, extinguishing_fire, falling_off_bike, falling_off_chair, feeding_birds, feeding_fish, feeding_goats, fencing_sport, filling_cake, filling_eyebrows, finger_snapping, fixing_bicycle, fixing_hair, flint_knapping, flipping_bottle, flipping_pancake, fly_tying, flying_kite, folding_clothes, folding_napkins, folding_paper, front_raises, frying_vegetables, getting_a_haircut, getting_a_piercing, getting_a_tattoo, giving_or_receiving_award, gold_panning, golf_chipping, golf_driving, golf_putting, gospel_singing_in_church, grinding_meat, grooming_cat, grooming_dog, grooming_horse, gymnastics_tumbling, hammer_throw, hand_washing_clothes, head_stand, helmet_diving, herding_cattle, high_fiving, high_jump, high_kick, historical_reenactment, hitting_baseball, hockey_stop, holding_snake, home_roasting_coffee, hugging_baby, hugging_not_baby, hula_hooping, hurling_sport, ice_climbing, ice_fishing, ice_skating, ice_swimming, inflating_balloons, installing_carpet, ironing_hair, javelin_throw, juggling_balls, juggling_fire, juggling_soccer_ball, jumping_bicycle, jumping_into_pool, jumping_jacks, jumping_sofa, jumpstyle_dancing, kicking_field_goal, kicking_soccer_ball, land_sailing, lawn_mower_racing, laying_bricks, laying_concrete, laying_decking, laying_stone, laying_tiles, letting_go_of_balloon, lifting_hat, lighting_candle, lighting_fire, listening_with_headphones, lock_picking, long_jump, looking_at_phone, looking_in_mirror, making_a_cake, making_a_sandwich, making_balloon_shapes, making_bubbles, making_cheese, making_horseshoes, making_jewelry, making_latte_art, making_paper_aeroplanes, making_pizza, making_slime, making_snowman, making_sushi, making_tea, making_the_bed, marriage_proposal, massaging_back, massaging_feet, massaging_legs, massaging_neck, massaging_persons_head, metal_detecting, milking_cow, milking_goat, mixing_colours, moon_walking, mopping_floor, mosh_pit_dancing, mountain_climber_exercise, moving_baby, moving_child, moving_furniture, mowing_lawn, mushroom_foraging, needle_felting, news_anchoring, opening_bottle_not_wine, opening_coconuts, opening_door, opening_present, opening_refrigerator, opening_wine_bottle, passing_American_football_in_game, passing_American_football_not_in_game, passing_soccer_ball, peeling_apples, peeling_banana, peeling_potatoes, person_collecting_garbage, petting_animal_not_cat, petting_cat, petting_horse, picking_apples, picking_blueberries, pillow_fight, planing_wood, planting_trees, playing_accordion, playing_american_football, playing_badminton, playing_bagpipes, playing_basketball, playing_bass_guitar, playing_beer_pong, playing_billiards, playing_blackjack, playing_cards, playing_cello, playing_checkers, playing_chess, playing_clarinet, playing_controller, playing_cricket, playing_cymbals, playing_darts, playing_didgeridoo, playing_dominoes, playing_drums, playing_field_hockey, playing_flute, playing_gong, playing_guitar, playing_hand_clapping_games, playing_harmonica, playing_harp, playing_ice_hockey, playing_keyboard, playing_kickball, playing_laser_tag, playing_lute, playing_mahjong, playing_maracas, playing_marbles, playing_monopoly, playing_netball, playing_nose_flute, playing_oboe, playing_ocarina, playing_organ, playing_paintball, playing_pan_pipes, playing_piano, playing_piccolo, playing_pinball, playing_ping_pong, playing_poker, playing_polo, playing_recorder, playing_road_hockey, playing_rounders, playing_rubiks_cube, playing_saxophone, playing_scrabble, playing_shuffleboard, playing_slot_machine, playing_squash_or_racquetball, playing_tennis, playing_trombone, playing_trumpet, playing_ukulele, playing_violin, playing_volleyball, playing_with_trains, playing_xylophone, poaching_eggs, poking_bellybutton, pole_vault, polishing_furniture, polishing_metal, popping_balloons, pouring_beer, pouring_milk, pouring_wine, preparing_salad, presenting_weather_forecast, pretending_to_be_a_statue, pull_ups, pulling_espresso_shot, pulling_rope_game, pumping_fist, pumping_gas, punching_bag, punching_person_boxing, push_up, pushing_car, pushing_cart, pushing_wheelbarrow, pushing_wheelchair, putting_in_contact_lenses, putting_on_eyeliner, putting_on_foundation, putting_on_lipstick, putting_on_mascara, putting_on_sari, putting_on_shoes, putting_wallpaper_on_wall, raising_eyebrows, reading_book, reading_newspaper, recording_music, repairing_puncture, riding_a_bike, riding_camel, riding_elephant, riding_mechanical_bull, riding_mule, riding_or_walking_with_horse, riding_scooter, riding_snow_blower, riding_unicycle, ripping_paper, roasting_marshmallows, roasting_pig, robot_dancing, rock_climbing, rock_scissors_paper, roller_skating, rolling_eyes, rolling_pastry, rope_pushdown, running_on_treadmill, salsa_dancing, sanding_floor, sanding_wood, sausage_making, sawing_wood, scrambling_eggs, scrubbing_face, scuba_diving, seasoning_food, separating_eggs, setting_table, shaking_hands, shaking_head, shaping_bread_dough, sharpening_knives, sharpening_pencil, shaving_head, shaving_legs, shearing_sheep, shining_flashlight, shining_shoes, shoot_dance, shooting_basketball, shooting_goal_soccer, shooting_off_fireworks, shot_put, shoveling_snow, shredding_paper, shucking_oysters, shuffling_cards, shuffling_feet, side_kick, sign_language_interpreting, silent_disco, sipping_cup, ski_ballet, ski_jumping, skiing_crosscountry, skiing_mono, skiing_slalom, skipping_rope, skipping_stone, sled_dog_racing, slicing_onion, smelling_feet, smoking_hookah, smoking_pipe, snatch_weight_lifting, spinning_plates, spinning_poi, splashing_water, spray_painting, springboard_diving, square_dancing, squeezing_orange, stacking_cups, stacking_dice, standing_on_hands, steer_roping, steering_car, sticking_tongue_out, stomping_grapes, stretching_arm, stretching_leg, sucking_lolly, surfing_crowd, surfing_water, sweeping_floor, swimming_backstroke, swimming_breast_stroke, swimming_butterfly_stroke, swimming_front_crawl, swimming_with_dolphins, swimming_with_sharks, swing_dancing, swinging_baseball_bat, swinging_on_something, sword_fighting, sword_swallowing, tagging_graffiti, tai_chi, taking_photo, talking_on_cell_phone, tango_dancing, tap_dancing, tapping_guitar, tapping_pen, tasting_beer, tasting_food, tasting_wine, threading_needle, throwing_axe, throwing_ball_not_baseball_or_American_football, throwing_discus, throwing_knife, throwing_snowballs, throwing_tantrum, throwing_water_balloon, tie_dying, tightrope_walking, tossing_coin, tossing_salad, training_dog, treating_wood, trimming_or_shaving_beard, trimming_shrubs, trimming_trees, triple_jump, twiddling_fingers, tying_bow_tie, tying_knot_not_on_a_tie, tying_necktie, tying_shoe_laces, uncorking_champagne, unloading_truck, using_a_microscope, using_a_paint_roller, using_a_power_drill, using_a_sledge_hammer, using_a_wrench, using_atm, using_bagging_machine, using_circular_saw, using_inhaler, using_megaphone, using_puppets, using_remote_controller_not_gaming, using_segway, vacuuming_car, vacuuming_floor, visiting_the_zoo, wading_through_mud, wading_through_water, waiting_in_line, waking_up, walking_on_stilts, walking_the_dog, walking_through_snow, walking_with_crutches, washing_dishes, washing_feet, washing_hair, washing_hands, watching_tv, water_skiing, water_sliding, watering_plants, waving_hand, waxing_armpits, waxing_back, waxing_chest, waxing_eyebrows, waxing_legs, weaving_basket, weaving_fabric, wood_burning_art, wrapping_present, yarn_spinning. Supported extensions are: avi, mp4
Versions
PyTorch version: 1.12.1+cu102
Is debug build: False
CUDA used to build PyTorch: 10.2
ROCM used to build PyTorch: N/A
OS: Ubuntu 20.04.2 LTS (x86_64)
GCC version: (Ubuntu 9.3.0-17ubuntu1~20.04) 9.3.0
Clang version: Could not collect
CMake version: version 3.16.3
Libc version: glibc-2.2.5
Python version: 3.7.6 (default, Feb 18 2020, 21:28:31) [GCC 9.3.0] (64-bit runtime)
Python platform: Linux-5.4.0-70-generic-x86_64-with-debian-bullseye-sid
Is CUDA available: True
CUDA runtime version: Could not collect
CUDA_MODULE_LOADING set to:
GPU models and configuration:
GPU 0: NVIDIA A100 80GB PCIe
GPU 1: NVIDIA A100 80GB PCIe
GPU 2: NVIDIA A100 80GB PCIe
GPU 3: NVIDIA A100 80GB PCIe
Nvidia driver version: 510.47.03
cuDNN version: Could not collect
HIP runtime version: N/A
MIOpen runtime version: N/A
Is XNNPACK available: True
Versions of relevant libraries:
[pip3] numpy==1.21.4
[pip3] torch==1.12.1
[pip3] torchaudio==0.8.1
[pip3] torchvision==0.13.1
[conda] Could not collect
cc @pmeier
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start at the torchvision.datasets.Kinetics entry point and reproduce the example with download=True using the reported versions. Inspect how the dataset locates class files and handles the supported avi and mp4 extensions. Done means the example can download or recognize valid Kinetics files without raising the reported FileNotFoundError.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, pytorch
- Domain
- computer-vision, data
- Issue type
- Bug
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 42/100