lequytra
commented
4 years ago Hi @Priyabrata-M,
The direct issue is that the class index 189 is not found in the mapping from class indices to class names. This is most likely due to not providing the correct class names file. We recently updated the demo pipeline but haven't updated the correct classname file in the repo.
Can you try saving this as a json file and providing it as class name file instead:
{"\"sharpening knives\"": 290, "\"eating ice cream\"": 115, "\"cutting nails\"": 81, "\"changing wheel\"": 53, "\"bench pressing\"": 19, "deadlifting": 88, "\"eating carrots\"": 111, "marching": 192, "\"throwing discus\"": 358, "\"playing flute\"": 231, "\"cooking on campfire\"": 72, "\"breading or breadcrumbing\"": 33, "\"playing badminton\"": 218, "\"ripping paper\"": 276, "\"playing saxophone\"": 244, "\"milking cow\"": 197, "\"juggling balls\"": 169, "\"flying kite\"": 130, "capoeira": 43, "\"making jewelry\"": 187, "drinking": 100, "\"playing cymbals\"": 228, "\"cleaning gutters\"": 61, "\"hurling (sport)\"": 161, "\"playing organ\"": 239, "\"tossing coin\"": 361, "wrestling": 395, "\"driving car\"": 103, "headbutting": 150, "\"gymnastics tumbling\"": 147, "\"making bed\"": 186, "abseiling": 0, "\"holding snake\"": 155, "\"rock climbing\"": 278, "\"cooking egg\"": 71, "\"long jump\"": 182, "\"bee keeping\"": 17, "\"trimming or shaving beard\"": 365, "\"cleaning shoes\"": 63, "\"dancing gangnam style\"": 86, "\"catching or throwing softball\"": 50, "\"ice skating\"": 164, "jogging": 168, "\"eating spaghetti\"": 116, "bobsledding": 28, "\"assembling computer\"": 8, "\"playing cricket\"": 227, "\"playing monopoly\"": 238, "\"golf putting\"": 143, "\"making pizza\"": 188, "\"javelin throw\"": 166, "\"peeling potatoes\"": 211, "clapping": 57, "\"brushing hair\"": 36, "\"flipping pancake\"": 129, "\"drinking beer\"": 101, "\"dribbling basketball\"": 99, "\"playing bagpipes\"": 219, "somersaulting": 325, "\"canoeing or kayaking\"": 42, "\"riding unicycle\"": 275, "texting": 355, "\"tasting beer\"": 352, "\"hockey stop\"": 154, "\"playing clarinet\"": 225, "\"waxing legs\"": 389, "\"curling hair\"": 80, "\"running on treadmill\"": 281, "\"tai chi\"": 346, "\"driving tractor\"": 104, "\"shaving legs\"": 293, "\"sharpening pencil\"": 291, "\"making sushi\"": 190, "\"spray painting\"": 327, "situp": 305, "\"playing kickball\"": 237, "\"sticking tongue out\"": 331, "headbanging": 149, "\"folding napkins\"": 132, "\"playing piano\"": 241, "skydiving": 312, "\"dancing charleston\"": 85, "\"ice fishing\"": 163, "tickling": 359, "bandaging": 13, "\"high jump\"": 151, "\"making a sandwich\"": 185, "\"riding mountain bike\"": 271, "\"cutting pineapple\"": 82, "\"feeding goats\"": 125, "\"dancing macarena\"": 87, "\"playing basketball\"": 220, "krumping": 179, "\"high kick\"": 152, "\"balloon blowing\"": 12, "\"playing accordion\"": 217, "\"playing chess\"": 224, "\"hula hooping\"": 159, "\"pushing wheelchair\"": 263, "\"riding camel\"": 268, "\"blowing out candles\"": 27, "\"extinguishing fire\"": 121, "\"using computer\"": 373, "\"jumpstyle dancing\"": 173, "yawning": 397, "writing": 396, "\"jumping into pool\"": 172, "\"doing laundry\"": 96, "\"egg hunting\"": 118, "\"sanding floor\"": 284, "\"moving furniture\"": 200, "\"exercising arm\"": 119, "\"sword fighting\"": 345, "\"sign language interpreting\"": 303, "\"counting money\"": 74, "bartending": 15, "\"cleaning windows\"": 65, "\"blasting sand\"": 23, "\"petting cat\"": 213, "sniffing": 320, "bowling": 31, "\"playing poker\"": 242, "\"taking a shower\"": 347, "\"washing hands\"": 382, "\"water sliding\"": 384, "\"presenting weather forecast\"": 254, "tobogganing": 360, "celebrating": 51, "\"getting a haircut\"": 138, "snorkeling": 321, "\"weaving basket\"": 390, "\"playing squash or racquetball\"": 245, "parasailing": 206, "\"news anchoring\"": 202, "\"belly dancing\"": 18, "windsurfing": 393, "\"braiding hair\"": 32, "\"crossing river\"": 78, "\"laying bricks\"": 181, "\"roller skating\"": 280, "hopscotch": 156, "\"playing trumpet\"": 248, "\"dying hair\"": 108, "\"trimming trees\"": 366, "\"pumping fist\"": 256, "\"playing keyboard\"": 236, "snowboarding": 322, "\"garbage collecting\"": 136, "\"playing controller\"": 226, "dodgeball": 94, "\"recording music\"": 266, "\"country line dancing\"": 75, "\"dancing ballet\"": 84, "gargling": 137, "ironing": 165, "\"push up\"": 260, "\"frying vegetables\"": 135, "\"ski jumping\"": 307, "\"mowing lawn\"": 201, "\"getting a tattoo\"": 139, "\"rock scissors paper\"": 279, "cheerleading": 55, "\"using remote controller (not gaming)\"": 374, "\"shaking head\"": 289, "sailing": 282, "\"training dog\"": 363, "hurdling": 160, "\"fixing hair\"": 128, "\"climbing ladder\"": 67, "\"filling eyebrows\"": 126, "\"springboard diving\"": 329, "\"eating watermelon\"": 117, "\"drumming fingers\"": 106, "\"waxing back\"": 386, "\"playing didgeridoo\"": 229, "\"swimming backstroke\"": 339, "\"biking through snow\"": 22, "\"washing feet\"": 380, "\"mopping floor\"": 198, "\"throwing ball\"": 357, "\"eating doughnuts\"": 113, "\"drinking shots\"": 102, "\"tying bow tie\"": 368, "dining": 91, "\"surfing water\"": 337, "\"sweeping floor\"": 338, "\"grooming dog\"": 145, "\"catching fish\"": 47, "\"pumping gas\"": 257, "\"riding or walking with horse\"": 273, "\"massaging person's head\"": 196, "archery": 5, "\"ice climbing\"": 162, "\"playing recorder\"": 243, "\"decorating the christmas tree\"": 89, "\"peeling apples\"": 210, "snowmobiling": 324, "\"playing ukulele\"": 249, "\"eating burger\"": 109, "\"building cabinet\"": 38, "\"stomping grapes\"": 332, "\"drop kicking\"": 105, "\"passing American football (not in game)\"": 209, "applauding": 3, "hugging": 158, "\"eating hotdog\"": 114, "\"pole vault\"": 253, "\"reading newspaper\"": 265, "\"snatch weight lifting\"": 318, "zumba": 399, "\"playing ice hockey\"": 235, "breakdancing": 34, "\"feeding fish\"": 124, "\"shredding paper\"": 300, "\"catching or throwing frisbee\"": 49, "\"exercising with an exercise ball\"": 120, "\"pushing cart\"": 262, "\"swimming butterfly stroke\"": 341, "\"riding scooter\"": 274, "spraying": 328, "\"folding paper\"": 133, "\"golf driving\"": 142, "\"robot dancing\"": 277, "\"bending back\"": 20, "testifying": 354, "\"waxing chest\"": 387, "\"carving pumpkin\"": 46, "\"hitting baseball\"": 153, "\"riding elephant\"": 269, "\"brushing teeth\"": 37, "\"pull ups\"": 255, "\"riding a bike\"": 267, "skateboarding": 306, "\"cleaning pool\"": 62, "\"playing paintball\"": 240, "\"massaging back\"": 193, "\"shoveling snow\"": 299, "\"surfing crowd\"": 336, "unboxing": 371, "faceplanting": 122, "trapezing": 364, "\"swinging legs\"": 343, "hoverboarding": 157, "\"playing violin\"": 250, "\"wrapping present\"": 394, "\"blowing nose\"": 26, "\"kicking field goal\"": 174, "\"picking fruit\"": 214, "\"swinging on something\"": 344, "\"giving or receiving award\"": 140, "\"planting trees\"": 215, "\"water skiing\"": 383, "\"washing dishes\"": 379, "\"punching bag\"": 258, "\"massaging legs\"": 195, "\"throwing axe\"": 356, "\"salsa dancing\"": 283, "bookbinding": 29, "\"tying tie\"": 370, "\"skiing crosscountry\"": 309, "\"shining shoes\"": 295, "\"making snowman\"": 189, "\"front raises\"": 134, "\"doing nails\"": 97, "\"massaging feet\"": 194, "\"playing drums\"": 230, "smoking": 316, "\"punching person (boxing)\"": 259, "cartwheeling": 45, "\"passing American football (in game)\"": 208, "\"shaking hands\"": 288, "plastering": 216, "\"watering plants\"": 385, "kissing": 176, "slapping": 314, "\"playing harmonica\"": 233, "welding": 391, "\"smoking hookah\"": 317, "\"scrambling eggs\"": 285, "\"cooking chicken\"": 70, "\"pushing car\"": 261, "\"opening bottle\"": 203, "\"cooking sausages\"": 73, "\"catching or throwing baseball\"": 48, "\"swimming breast stroke\"": 340, "digging": 90, "\"playing xylophone\"": 252, "\"doing aerobics\"": 95, "\"playing trombone\"": 247, "knitting": 178, "\"waiting in line\"": 377, "\"tossing salad\"": 362, "squat": 330, "vault": 376, "\"using segway\"": 375, "\"crawling baby\"": 77, "\"reading book\"": 264, "motorcycling": 199, "barbequing": 14, "\"cleaning floor\"": 60, "\"playing cello\"": 223, "drawing": 98, "auctioning": 9, "\"carrying baby\"": 44, "\"diving cliff\"": 93, "busking": 41, "\"cutting watermelon\"": 83, "\"scuba diving\"": 286, "\"riding mechanical bull\"": 270, "\"making tea\"": 191, "\"playing tennis\"": 246, "crying": 79, "\"dunking basketball\"": 107, "\"cracking neck\"": 76, "\"arranging flowers\"": 7, "\"building shed\"": 39, "\"golf chipping\"": 141, "\"tasting food\"": 353, "\"shaving head\"": 292, "\"answering questions\"": 2, "\"climbing tree\"": 68, "\"skipping rope\"": 311, "kitesurfing": 177, "\"juggling fire\"": 170, "laughing": 180, "paragliding": 205, "\"contact juggling\"": 69, "slacklining": 313, "\"arm wrestling\"": 6, "\"making a cake\"": 184, "\"finger snapping\"": 127, "\"grooming horse\"": 146, "\"opening present\"": 204, "\"tapping pen\"": 351, "singing": 304, "\"shot put\"": 298, "\"cleaning toilet\"": 64, "\"spinning poi\"": 326, "\"setting table\"": 287, "\"tying knot (not on a tie)\"": 369, "\"blowing glass\"": 24, "\"eating chips\"": 112, "\"tap dancing\"": 349, "\"climbing a rope\"": 66, "\"brush painting\"": 35, "\"chopping wood\"": 56, "\"stretching leg\"": 334, "\"petting animal (not cat)\"": 212, "\"baking cookies\"": 11, "\"stretching arm\"": 333, "beatboxing": 16, "jetskiing": 167, "\"bending metal\"": 21, "sneezing": 319, "\"folding clothes\"": 131, "\"sled dog racing\"": 315, "\"tapping guitar\"": 350, "\"bouncing on trampoline\"": 30, "\"waxing eyebrows\"": 388, "\"air drumming\"": 1, "\"kicking soccer ball\"": 175, "\"washing hair\"": 381, "\"riding mule\"": 272, "\"blowing leaves\"": 25, "\"strumming guitar\"": 335, "\"playing cards\"": 222, "snowkiting": 323, "\"playing bass guitar\"": 221, "\"applying cream\"": 4, "\"shooting basketball\"": 296, "\"walking the dog\"": 378, "\"triple jump\"": 367, "\"shearing sheep\"": 294, "\"clay pottery making\"": 58, "\"bungee jumping\"": 40, "\"unloading truck\"": 372, "\"shuffling cards\"": 301, "\"shooting goal (soccer)\"": 297, "\"tango dancing\"": 348, "\"side kick\"": 302, "\"grinding meat\"": 144, "yoga": 398, "\"hammer throw\"": 148, "\"changing oil\"": 52, "\"checking tires\"": 54, "parkour": 207, "\"eating cake\"": 110, "\"skiing slalom\"": 310, "\"juggling soccer ball\"": 171, "whistling": 392, "\"feeding birds\"": 123, "\"playing volleyball\"": 251, "\"swing dancing\"": 342, "\"skiing (not slalom or crosscountry)\"": 308, "lunge": 183, "\"disc golfing\"": 92, "\"clean and jerk\"": 59, "\"playing guitar\"": 232, "\"baby waking up\"": 10, "\"playing harp\"": 234}
Priyabrata-M
Dear Team,
I am trying to run the demo but I able to run and dump the output properly with SLOWFAST_32x2_R101_50_50.pkl (Pytorch AVA model) but with I3D_NLN_8x8_R50.pkl model (Caffe2 Kinetic model) I am getting this error "TypeError: object of type 'NoneType' has no len()" on same sample video. Putting the complete error flow for your reference:
[08/06 19:52:10][INFO] slowfast.utils.checkpoint: 239: res4_3_branch2b_bn_b: (256,) => s4.pathway0_res3.branch2.b_bn.bias: (256,)
[08/06 19:52:10][INFO] slowfast.utils.checkpoint: 239: res4_5_branch2a_bn_b: (256,) => s4.pathway0_res5.branch2.a_bn.bias: (256,) [INFO: predictor.py: 38]: Finish loading model weights [08/06 19:52:10][INFO] slowfast.visualization.predictor: 38: Finish loading model weights [ERROR: video_visualizer.py: 32]: Class indices get out of range: [189] [08/06 19:52:10][ERROR] slowfast.visualization.video_visualizer: 32: Class indices get out of range: [189] 0it [00:10, ?it/s] Traceback (most recent call last): File "tools/run_net.py", line 39, in
main()
File "tools/run_net.py", line 35, in main
demo(cfg)
File "/data/priyabrata/video_analytics/action_understanding/slowfast_V2/SlowFast/tools/demo_net.py", line 98, in demo
for frames in tqdm.tqdm(run_demo(cfg, frame_provider)):
File "/data/slowfast/lib/python3.7/site-packages/tqdm/std.py", line 1130, in iter
for obj in iterable:
File "/data/priyabrata/video_analytics/action_understanding/slowfast_V2/SlowFast/tools/demo_net.py", line 75, in run_demo
frames = draw_predictions(task, video_vis)
File "/data/priyabrata/video_analytics/action_understanding/slowfast_V2/SlowFast/slowfast/visualization/predictor.py", line 189, in draw_predictions
frames, preds, keyframe_idx=keyframe_idx, draw_range=draw_range
File "/data/priyabrata/video_analytics/action_understanding/slowfast_V2/SlowFast/slowfast/visualization/video_visualizer.py", line 522, in draw_clip_range
Kindly help me to resolve this issue. Thanks in Advance.